A Review and Analysis of Literature on Autonomous Driving

In order to understand the development of research in autonomous driving in the last years, it is important to conduct a literature review to understand the different fields of application through which autonomous driving has evolved as well as to identify research gaps.

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A Review and Analysis of Literature on Autonomous Driving

by Juan Rosenzweig, Michael Bartl

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1. Introduction to Autonomous Driving

1.1 Background

Autonomous Driving has been said to be the next big disruptive innovation in the years to come. Considered as being predominantly technology driven, it is supposed to have massive societal impact in all kinds of fields. In this section a brief overview on the technology and development will prove helpful to understand the need of customer acceptance on the topic that until now has been, as demonstrated in section 2, neglected.

According to Marlon G. Boarnet (Ross, 2014, p. 90), a specialist in transportation and urban growth at the University of Southern California “Approximately every two generations, we rebuild the transportation infrastructure in our cities in ways that shape the vitality of neighborhoods; the settlement patterns in our cities and countryside; and our economy, society  and culture” and as many believe, autonomous driving cars are this new big change everyone is talking about. Leading not only to high impact environmental benefits such as the improvement of fuel economy (Payre, et al. 2014; Luettel, et al., 2012) , through the optimization of highways (Luettel, et al., 2012; Le Vine, et al., 2015; Payre, et al., 2014; Hamish Jamson, et al., 2013; Merat, et al.; 2012), the reduction of required cars to only 15% of the current amount needed (Ross, 2014), and platoon driving that would save to 20-30% fuel consume (Weyer, et al., 2015),  but also leading to societal aspects such as immense productivity gains while commuting (Le Vine, et al., 2015; Payre, et al., 2014; Hamish Jamson, et al., 2013), decline on the accident and death tolls considered as the eight highest death cause worldwide in 2013 (World Health Organization, 2013), stress reduction (Rudin-Brown & Parker, 2004a; Stanton & Young, 2005), and the decline of parking space to up to ¼ of the current capacity (Alessandrini, et al., 2015). It would also, according to a study by Morgan Stanley (2013) lead to an average 38 hours reduction of commuting time per individual per year as well as saving the US economy alone 1.3 trillion dollars per year, creating a shift on the possibilities and different applications, developing completely new markets, partnerships and possible business models (Bartl, 2015). That will change the society as we know it.

All the benefits of course, and not only to mention the Technological difficulties do not come without a certain amount of challenges, complications and necessary changes  in current systems in order to work. By now several States in the US have passed laws permitting autonomous cars testing on their roads (Walker S., 2014). The National Highway Traffic Safety Administration in the United States (2013) provides an official self-driving car classification dividing into No-Automation (Level 0), Function-specific Automation (Level 1), Combined Function Automation (Level 2), Limited Self-Driving Automation (Level 3) and Full Self-Driving Automation (Level 4). Europeans have also started modifying the Vienna Convention on Road Traffic and the Geneva Convention on Road Traffic (Reuters, 2014) in order to be able to adapt this new technology, but legal issues and doubt still arise as one of the main concerns of discussion. Some of the main issues surrounding the autonomous driving field found throughout the literature and the web are; test and standard set for critical event control, how to deal with the requirement for a ‘driver’, ownership and maintenance (Teare, 2014), civil  and criminal liability, corporate manslaughter (Browning, 2014), insurance, data protection and privacy issues (Khan, et al., 2012).

Having a closer look at the history of Autonomous Driving, as explained in the IEEE Spectrum (Ross, 2014) in Figure 1 it can be observed that the technological development and main milestones of the autonomous driving field started already a few decades ago. Leading to a vast analysis of some semi-autonomous features, development of present technologies and understanding on the future problematic while focusing in the near future in the connected car.

65 years automotive development

Figure 1: Sixty five years of automotive baby steps (Ross, 2014, p. 62)

One of the main concerns for all semi-autonomous features in the literature is that humans are poor monitors of automation (Bainbridge, 1983) meaning that driving performance declines as automation increases, leading to big safety concerns while being “out of the loop” in case of necessary reaction (Hamish Jamson, et al., 2013; Weyer, et al., 2015;  Merat, et al., 2012), situation that is imminent until the technology is fully automated. Moreover John ­Leonard (Knight, 2013), a MIT professor, reasons that current technology relies on very accurate prior maps and that keeping maps up to date shouldn´t be underestimated, while his colleague Bryan Reimer, a research scientist in MIT’s Age Lab, argues that the most inhibiting factors related to Autonomous driving “will be factors related to the human experience”. Despite the fact that most experiments of full automation with future users have been done in driving simulators (Weyer, et al., 2015) recent studies also point that motion sickness is also higher in self-driving cars. (Sivak & Schoettle , 2015) and that passengers that do not drive, experience discomfort at lower acceleration rates than car drivers do (Le Vine, et al., 2015), not to mention the fear of technology failure (Merat, et al., 2014). Further worries derive from the social impact such as the massive job loss (Morgan Stanley, 2013) as well as the change of social structures as insurance companies, the health industry (Yang & Coughlin, 2014) and public transport systems (Alessandrini, et al., 2015).

1.2 Relevance of customer perspective

Autonomous cars are not that far away, for example Audi and Mercedes (Bartl, 2013) have announced almost being ready from production in highly automated features. As a reflection of the daily news, we can steadily see how this technology manages to get closer to be in our everyday life, with examples of cars driving a blind man for tacos already on 2012 (Google, 2012), coast to coast trips (CNN, 2015), an Italy to China trip (Broggi, et al., 2013)  and 700,000 miles already travelled by Google (Urmson , 2014).  But main automakers in the race such as Audi, BMW, Cadillac, Ford, General Motors, Jaguar, Land Rover, Lincon, Mercedes-Benz, Nissan, Tesla and Volvo, are trying to integrate it slowly to their models despite the fairly readiness of the technology. This can be interpreted as a futile attempt to keep this totally disruptive technology under control and to have overall slower customer integration, but this old model will prove to be not good enough due to the magnitude and impact of this technology (Bartl, 2015).

According to a survey with more than 200 experts on autonomous vehicles by the IEEE (2014), the world’s largest professional association for the advancement of technology, the three biggest obstacles to reach the mass adoption of driverless cars are: legal liability, policymakers and customer acceptance, while the following three; cost, infrastructure and technology are seen as less of a problem. In the next section we can see through a literature review how the development of research has focused mainly on technology development and just begun to focus on legal liability and policymakers while research on customer acceptance has been more limited.

For all the reasons mentioned above from the IEEE Interview, the authors and experts focus on the technology in relation with human interaction (Knight, 2013; Yang & Coughlin, 2014), the general a priori acceptability of autonomous driving in recent and smaller studies (Payre, et al., 2014), the companies approach to the technology introduction, as well as recent studies with future users concluding that trust and acceptance increases with high antrophormism in technology (Waytz, et al., 2014). It is essential to start understanding and integrating customers in order to build deep and meaningful customer insights which can be used to deliver the products that the customers are looking for (Bartl, et al., 2012; Von Hippel, 2005) The following section demonstrates the research gap on the topic through a literature review focused on a systematic keyword search among the most popular literature databases.

2. Review and analysis of Literature on Autonomous Driving

In order to understand the development of research in autonomous driving in the last  years, it is important to conduct a literature review to understand the different fields of application through which autonomous driving has evolved as well as to identify research gaps. Therefore in the next sections the research process, methodology and findings of the literature review are presented.

2.1 Methodology & Data Collection Procedure

The research conducted focused in a systematic keyword search in the topic section of literature databases, including EBSCO, Science Direct, Emerald and ISI web of knowledge. The search conducted included the specific terms, “Autonomous driving”, “Self driving car” and “Driverless car” either in the title, keywords or abstract and including only academic journals listed in the mentioned databases. Hence, the aim of this research was not to find all literature regarding Autonomous Driving that because of its size would lead to an enormous amount of results due to the extensive applications, testing and research in other fields (robotics, underwater vehicles, military, aeronautics, space vehicles, etc.), but to achieve an overview and overall classification to identify current gaps in the scientific literature body. Therefore taking into consideration only the literature publications relevant for roads, traffic, crossroads and studies related to commuting, transportation or production, and including all relevant publications found related to the automotive industry, as well as also considering papers in other topics that acknowledge that the application could be relevant for self-driving cars.

The search yielded 483 papers, 154 of which were found in EBSCO, 122 in Science Direct, 8 in Emerald and 199 in ISI Web of Knowledge. Furthermore, a thorough analysis of abstracts, titles and journals was conducted in order to eliminate duplicates and results that were found in more than one database, leading to the elimination of 63 repetitions, some of which were even found 3 times, reflecting the thoroughness of the search, delivering a total amount of 420 publications. Finally a last filtering process eliminated publications not fulfilling scientific standards nor a peer-review process lead to the exclusion of 21 further publications delivering a final number of 399 Publications, which can be found in Appendix I.

A set of analysis explained in the next sections were then conducted with the remaining 399 publications in order to understand of the current state of the literature, its focus and development over time.

2.2 Findings

2.2.1 Analysis of publications over time

Through this method, good insight can be gained on the origin and development of a research field over time (Dahlander & Gann, 2010). As shown in Figure 2 we can observe the development of self-driving cars research throughout the last decades, demonstrating at the same time a continuous increase of the interest on the topic as well as important milestones that can also influence the topic development and research such as in this case the DARPA Grand Challenges in the beginning of 2004 and end of 2005 or the Urban Challenge in the end of 2007 (DARPA, 2015), that were relatively important events in the field. Furthermore, from 2013 to 2014 a rapid increase of 60.8% can be observed, which can be related to the actual interest on the topic.

publications over time

Figure 2: Analysis of Publications over time

2.2.2 Journal Count Analysis

Furthermore a journal count analysis was conducted in order to understand which journals were more dedicated to the topic depending on the amount of articles released, all journals with more than 5 publications are shown in Figure 3. “IEEE Transactions on Intelligent transportation systems.“ and “Robotics and Autonomous Systems”  resulted to be the ones more focused on the topic with 17 publications each. This analysis shows the first hint on the natural focus of the literature in the technology development phase, as most of the listed journals are mainly technical and not specialized in the field of business and management.

publications count

Figure 3: Journal Publication Count


2.2.3 Citation Analysis

In addition and in order to examine the impact of published articles in a field (Leone, et al., 2012) , the well-established procedure of citation analysis was conducted, known as one of the most effective tools to analyze research performance (Chubin & Hackett , 1990; Martin, 1996) it was conducted by analyzing  all 399 publications found, through the Publish or Perish tool (Harzing, 2007),  the search yielded the citation count of  374 of the 399 publications leading to 25 results (6.2%) which were not found by Publish or Perish. The top results are reflected in Table 1.

Cites Authors Title Year Source
557 C. Urmson C. Baker et ál. Autonomous driving in urban environments: Boss and the Urban Challenge 2008 Journal of Field Robotics
364 M. Bertozzi A. Broggi, A. Fascioli, Vision-based intelligent vehicles: State of the art and perspectives 2000 Robotics and Autonomous Systems
330 P.A. Ioannou, C.C. Chien,

Autonomous intelligent cruise control 1993 IEEE Transactions on vehicular technology
311 U. Franke,  D. Gavrila,  et ál Autonomous driving goes downtown 1998 IEEE Intelligent systems and their applications
230 P. Hidas

Modelling lane changing and merging in microscopic traffic simulation. 2002 Transportation Research: Part C
201 J. Leonard, J. How, et ál. A Perception-Driven Autonomous Urban Vehicle 2008 Journal of Field Robotics
164 Y. Kuwata, S. Karaman, et ál. Real-Time Motion Planning With Applications to Autonomous Urban Driving 2009 IEEE Transactions on control systems technology
163 W. Wijesoma, K.R.S. Kodagoda, et ál. Road-Boundary Detection and Tracking Using Ladar Sensing. 2004 IEEE Transactions on Robotics & Automation.
157 K. Konolige, J.  Bowman et ál. View-based Maps. 2010 International Journal of Robotics Research
155 T.-H.S Li, C. Shih-Jie et ál.

Implementation of Human-Like Driving Skills by Autonomous Fuzzy Behavior Control on an FPGA-Based Car-Like Mobile Robot. 2003 IEEE Transactions on Industrial Electronics.

Table 1: Most cited publications in the Autonomous Driving field

From this analysis it is interesting to notice not only that the most cited paper is directly related to the DARPA Urban Challenge but also that it is relatively recent, reflecting again the actual interest on the topic. Further analysis of the results indicates also and as detailed in next section that most cited publications are mainly focused on the technological development of Autonomous Driving Technologies.

2.2.4 Publications topic analysis

Finally a publication topic analysis was conducted; according to the title, abstract and keywords, all papers were catalogued through a qualitative process in the following 5 categories; Technology Development, Foresight and Trend, Law and Regulations, Environmental Impact, and User Acceptance of Technology. All 399 papers were categorized; results are reflected in Figure 4.

topic distribution

Figure 4: Topic distribution


3. Conclusion

It can be observed that these results directly reflect the state of development of the industry, which is also starting to show interest in future research paths that begin to develop and point towards the research gaps that need to be addressed in the future such as the user acceptance of technology, to which it is also important to note that all 5 publications found, that account for the 1.3 % of the total, were released in the last 5 years.

Consequently, based on the presented results, and the analysis of the evolution in the field, it has been demonstrated that near to 91% of the research focuses on the technology development and the existing research gap on the user acceptance of the technology. Further research is needed to understand user acceptance and to integrate customer perspective into a field that has been mainly technology driven. making-of innovation

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APPENDIX – Publications on Autonomous Driving sorted by number of citations

Title Year Journal
Autonomous driving in urban environments: Boss and the Urban Challenge 2008 JOURNAL OF FIELD ROBOTICS  Volume: 25   Issue: 8   Pages: 425-466   Published: AUG 2008
Vision-based intelligent vehicles: State of the art and perspectives 2000 Robotics and Autonomous Systems, Volume 32, Issue 1, 31 July 2000, Pages 1-16
AUTONOMOUS INTELLIGENT CRUISE CONTROL 1993 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY  Volume: 42   Issue: 4   Pages: 657-672   Published: NOV 1993
Autonomous driving goes downtown 1998 IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS  Volume: 13   Issue: 6   Pages: 40-48   Published: NOV-DEC 1998
Modelling lane changing and merging in microscopic traffic simulation. 2002 Transportation Research: Part C. Oct2002, Vol. 10 Issue 5/6, p351. 21p. , Database: Business Source Complete
A Perception-Driven Autonomous Urban Vehicle 2008 JOURNAL OF FIELD ROBOTICS  Volume: 25   Issue: 10   Pages: 727-774   Published: OCT 2008
Real-Time Motion Planning With Applications to Autonomous Urban Driving 2009 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY  Volume: 17   Issue: 5   Pages: 1105-1118  Published: SEP 2009
Road-Boundary Detection and Tracking Using Ladar Sensing. 2004 IEEE Transactions on Robotics & Automation. Jun2004, Vol. 20 Issue 3, p456-464. 9p. , Database: Business Source Complete
View-based Maps. 2010 International Journal of Robotics Research.Jul2010, Vol. 29 Issue 8, p941-957. 17p. DOI: 10.1177/0278364910370376. , Database: Business Source Complete
Implementation of Human-Like Driving Skills by Autonomous Fuzzy Behavior Control on an FPGA-Based Car-Like Mobile Robot. 2003 IEEE Transactions on Industrial Electronics. Oct2003, Vol. 50 Issue 5, p867-880. 14p. 76 Black and White Photographs, 15 Diagrams, 2 Charts, 7 Graphs. , Database: Business Source Complete
DGPS-based vehicle-to-vehicle cooperative collision warning: Engineering feasibility viewpoints 2006 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS  Volume: 7   Issue: 4   Pages: 415-428   Published: DEC 2006
Shared Understanding for Collaborative Control. 2005 IEEE Transactions on Systems, Man & Cybernetics: Part A. Jul2005, Vol. 35 Issue 4, p494-504. 11p. DOI: 10.1109/TSMCA.2005.850599. , Database: Business Source Complete
A Shape-independent Method for Pedestrian Detection With Far-Infrared Images. 2004 IEEE Transactions on Vehicular Technology. Nov2004, Vol. 53 Issue 6, p1679-1697. 19p. DOI: 10.1109/TVT.2004.834875. , Database: Business Source Complete
Lane-change fuzzy control in autonomous vehicles for the overtaking maneuver 2008 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS  Volume: 9   Issue: 3   Pages: 438-450  Published: SEP 2008
Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving 2003 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS  Volume: 4   Issue: 4   Pages: 219-225   Published: DEC 2003
Model based vehicle detection and tracking for autonomous urban driving 2009 AUTONOMOUS ROBOTS  Volume: 26   Issue: 2-3   Pages: 123-139   Published: APR 2009
Visual-inertial navigation, mapping and localization: A scalable real-time causal approach. 2011 International Journal of Robotics Research. 04/01/2011, Vol. 30 Issue 4, p407-430. 24p. DOI: 10.1177/0278364910388963. , Database: Business Source Complete
Team Annie WAY’s autonomous system for the 2007 DARPA Urban Challenge 2008 JOURNAL OF FIELD ROBOTICS  Volume: 25   Issue: 9   Special Issue: SI   Pages: 615-639   Published: SEP 2008
Image Processing and Behavior Planning for Intelligent Vehicles. 2003 IEEE Transactions on Industrial Electronics. Feb2003, Vol. 50 Issue 1, p62. 16p. 34 Black and White Photographs, 5 Diagrams, 5 Graphs. , Database: Business Source Complete
TOWARD AUTONOMOUS DRIVING – THE CMU NAVLAB .1. PERCEPTION 1991 IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS  Volume: 6   Issue: 4   Pages: 31-42  Published: AUG 1991
Vision meets robotics: The KITTI dataset. 2013 International Journal of Robotics Research. Sep2013, Vol. 32 Issue 11, p1231-1237. 7p. DOI: 10.1177/0278364913491297. , Database: Business Source Complete
A Comparative Study of Vision-Based Lateral Control Strategies for Autonomous Highway Driving. 1999 International Journal of Robotics Research. May99, Vol. 18 Issue 5, p442. 12p. 2 Black and White Photographs, 9 Diagrams. , Database: Business Source Complete
Semi-autonomous adaptive cruise control systems 2002 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY  Volume: 51   Issue: 5   Pages: 1186-1192   Published: SEP 2002
Learning Long-Range Vision for Autonomous Off-Road Driving 2009 JOURNAL OF FIELD ROBOTICS  Volume: 26   Issue: 2   Pages: 120-144   Published: FEB 2009
A color vision-based lane tracking system for autonomous driving on unmarked roads 2004 AUTONOMOUS ROBOTS  Volume: 16   Issue: 1   Pages: 95-116   Published: JAN 2004
A collaborative driving system based on multiagent modelling and simulations. 2005 Transportation Research: Part C. Aug2005, Vol. 13 Issue 4, p320-345. 26p. DOI: 10.1016/j.trc.2005.07.004. , Database: Business Source Complete
Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments. 2010 International Journal of Robotics Research. Apr2010, Vol. 29 Issue 5, p485-501. 17p. DOI: 10.1177/0278364909359210. , Database: Business Source Complete
Color machine vision for autonomous vehicles 1998 Engineering Applications of Artificial Intelligence, Volume 11, Issue 2, 1 April 1998, Pages 245-256
Multisensor obstacle detection and tracking 2000 IMAGE AND VISION COMPUTING  Volume: 18   Issue: 5   Pages: 389-396   Published: APR 2000
Tradeoffs Between Directed and Autonomous Driving on the Mars Exploration Rovers. 2007 International Journal of Robotics Research. Jan2007, Vol. 26 Issue 1, p91-104. 14p. 2 Diagrams, 2 Charts, 1 Graph. DOI: 10.1177/0278364907073777. , Database: Business Source Complete
Systems for safety and autonomous behavior in cars: The DARPA Grand Challenge experience 2007 PROCEEDINGS OF THE IEEE  Volume: 95   Issue: 2   Pages: 397-412   Published: FEB 2007
Robust automatic parallel parking in tight spaces via fuzzy logic 2005 Robotics and Autonomous Systems, Volume 51, Issues 2–3, 31 May 2005, Pages 111-127
Vehicle Recognition and Tracking from Road Image Sequences 1999 IEEE Transactions on Vehicular Technology. Jan1999, Vol. 48 Issue 1, p301. 18p. 8 Black and White Photographs, 3 Diagrams, 5 Charts, 6 Graphs. , Database: Business Source Complete
A system for semi-autonomous tractor operations 2002 AUTONOMOUS ROBOTS  Volume: 13   Issue: 1   Pages: 87-104   Published: JUL 2002
VISUAL CONTROL OF AN AUTONOMOUS VEHICLE (BART) – THE VEHICLE-FOLLOWING PROBLEM 1991 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY  Volume: 40   Issue: 3   Pages: 654-662   Published: AUG 1991
Power-steering control architecture for automatic driving 2005 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS  Volume: 6   Issue: 4   Pages: 406-415  Published: DEC 2005
Perception for collision avoidance and autonomous driving 2003 MECHATRONICS  Volume: 13   Issue: 10   Pages: 1149-1161   Published: DEC 2003
Perception for collision avoidance and autonomous driving 2003 Mechatronics, Volume 13, Issue 10, December 2003, Pages 1149-1161
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3D Traffic Scene Understanding From Movable Platforms. 2014 IEEE Transactions on Pattern Analysis & Machine Intelligence.May2014, Vol. 36 Issue 5, p1012-1025. 14p. DOI: 10.1109/TPAMI.2013.185. , Database: Business Source Complete
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Making Bertha Drive-An Autonomous Journey on a Historic Route 2014 IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE  Volume: 6   Issue: 2   Pages: 8-20   Published:SUM 2014
Highly Automated Driving on Freeways in Real Traffic Using a Probabilistic Framework 2012 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS  Volume: 13   Issue: 4   Special Issue: SI   Pages: 1576-1585   Published: DEC 2012
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Towards Autonomous Agriculture: Automatic Ground Detection Using Trinocular Stereovision 2012 SENSORS  Volume: 12   Issue: 9   Pages: 12405-12423   Published: SEP 2012
Evaluation of Semi-Autonomous Convoy Driving 2008 JOURNAL OF FIELD ROBOTICS  Volume: 25   Issue: 11-12   Pages: 880-897   Published: NOV-DEC 2008
Towards a new mobility concept for cities: architecture and programming of semi‐autonomous electric vehicles 2007 Industrial Robot: An International Journal, Volume: 34 Issue: 2, 2007
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An improved model-based predictive control of vehicle trajectory by using nonlinear function 2009 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY  Volume: 23   Issue: 4   Pages: 918-922   Published:APR 2009
Foraging theory for autonomous vehicle speed choice 2009 Engineering Applications of Artificial Intelligence, Volume 22, Issue 3, April 2009, Pages 482-489
LATERAL CONTROL OF AUTONOMOUS VEHICLE USING LEVENBERG-MARQUARDT NEURAL NETWORK ALGORITHM 2002 International Journal of Automotive Technology    Volume: 3   Issue: 2   Pages: 71-77   Published: 2002
Applications of moving windows technique to autonomous vehicle navigation 2006 IMAGE AND VISION COMPUTING  Volume: 24   Issue: 2   Pages: 120-130   Published: FEB 1 2006
Genetic optimization of a vehicle fuzzy decision system for intersections 2012 Expert Systems with Applications, Volume 39, Issue 18, 15 December 2012, Pages 13148-13157
Driving With a Partially Autonomous Forward Collision Warning System: How Do Drivers React? 2012 HUMAN FACTORS  Volume: 54   Issue: 5   Pages: 698-708   Published: OCT 2012
Estimation of Multivehicle Dynamics by Considering Contextual Information. 2012 IEEE Transactions on Robotics. Aug2012, Vol. 28 Issue 4, p855-870. 16p. DOI: 10.1109/TRO.2012.2195829. , Database: Business Source Complete
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Autonomous vehicle control systems for safe crossroads. 2011 Transportation Research: Part C. Dec2011, Vol. 19 Issue 6, p1095-1110. 16p. DOI: 10.1016/j.trc.2011.06.002. , Database: Business Source Complete
Control Task Substitution in Semiautomated Driving: Does It Matter What Aspects Are Automated? 2012 Human Factors , Oct2012, Vol. 54 Issue 5, p747-761, 15p; DOI: 10.1177/0018720812460246, Database: Ergonomics Abstracts
Effectiveness and Driver Acceptance of a Semi‐Autonomous Forward Obstacle Collision Avoidance System 2011 Proceedings of the Human Factors & Ergonomics Society Annual Meeting , 2011; 2091-2095, 5p, Database: Ergonomics AbstractsAdd to folder
A technical review on navigation systems of agricultural autonomous off-road vehicles 2013 Journal of Terramechanics, Volume 50, Issue 3, June 2013, Pages 211-232
Efficacy and Acceptance of Driver Support under Possible Mismatches between Drivers of Intent and Traffic Conditions 2006 Proceedings of the Human Factors & Ergonomics Society Annual Meeting , 2006; 280-283, 4p, Database: Ergonomics Abstracts
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An efficient neural network approach to tracking control of an autonomous surface vehicle with unknown dynamics 2013 Expert Systems with Applications, Volume 40, Issue 5, April 2013, Pages 1629-1635
Evaluation of an Autonomous Braking System in Real-World PTW Crashes. 2013 Traffic Injury Prevention , Jul2013, Vol. 14 Issue 5, p532-543, 12p, 1 Black and White Photograph, 1 Diagram, 8 Charts, 10 Graphs; DOI: 10.1080/15389588.2012.725878, Database: Ergonomics Abstracts
Hierarchical fuzzy path tracking and velocity control of autonomous vehicles 1999 INTEGRATED COMPUTER-AIDED ENGINEERING  Volume: 6   Issue: 4   Pages: 289-301   Published: 1999
On-line learning of a fuzzy controller for a precise vehicle cruise control system 2013 Expert Systems with Applications, Volume 40, Issue 4, March 2013, Pages 1046-1053
A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios. 2014 IEEE Transactions on Vehicular Technology. Feb2014, Vol. 63 Issue 2, p540-555. 16p. DOI: 10.1109/TVT.2013.2281199. , Database: Business Source Complete
Extensive Tests of Autonomous Driving Technologies 2013 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS  Volume: 14   Issue: 3   Pages: 1403-1415   Published: SEP 2013
The design of an intelligent real-time autonomous vehicle, Taiwan iTS-1 2007 JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS  Volume: 30   Issue: 5   Pages: 829-842   Published: JUL 2007
Analysis of the minimum swerving distance for the development of a motorcycle autonomous braking system. 2013 Accident Analysis & Prevention , Oct2013, Vol. 59, p170-184, 15p; DOI: 10.1016/j.aap.2013.05.020, Database: Ergonomics Abstracts
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Development of an Autonomous Vehicle: A1 2011 Transactions of KSAE    Volume: 19   Issue: 4   Pages: 146-154   Published: 2011
Knowledge representation and planning for on-road driving 2004 Robotics and Autonomous Systems, Volume 49, Issues 1–2, 30 November 2004, Pages 57-66
Improving the Driver–Automation Interaction: An Approach Using Automation Uncertainty. 2013 Human Factors , Dec2013, Vol. 55 Issue 6, p1130-1141, 12p; DOI: 10.1177/0018720813482327, Database: Ergonomics Abstracts
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Motion planning of autonomous vehicles in a non-autonomous vehicle environment without speed lanes 2013 Engineering Applications of Artificial Intelligence, Volume 26, Issues 5–6, May–June 2013, Pages 1588-1601
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The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios 2014 Transportation Research Part C: Emerging Technologies, Volume 40, March 2014, Pages 1-13
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Real time algorithm implemented in Altera’s FPGA for a newly designed mobile robot: Autonomous navigation and parallel parking 2014 Multidiscipline Modeling in Materials and Structures, Volume: 10 Issue: 1, 2014
Robot, you can drive my car. 2014 IEEE Spectrum. Jun2014, Vol. 51 Issue 6, p60-90. 31p. DOI: 10.1109/MSPEC.2014.6821623. , Database: Business Source Alumni Edition
A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor 2015 Neurocomputing, Volume 151, Part 2, 5 March 2015, Pages 845-856
An autonomous vehicle driving control system 2005 INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION  Volume: 21   Issue: 5   Pages: 855-866   Published:2005
Automatic car driving based on fuzzy logic and GNSS. 2006 International Journal of Vehicle Autonomous Systems. 2006, Vol. 4 Issue 2-4, p250-267. 18p. DOI: 10.1504/IJVAS.2006.012211. , Database: Business Source Alumni Edition
Autonomous driver based on an intelligent system of decision-making. 2015 Cognitive Computation, Feb 13, 2015.
Autonomous driving control for ITS by using learning automaton network with multiple environments 2005 ELECTRICAL ENGINEERING IN JAPAN  Volume: 150   Issue: 4   Pages: 36-43   Published: MAR 2005
Computer Program May Lead to Driverless Cars. 2010 Civil Engineering (08857024). Jun2010, Vol. 80 Issue 6, p35-35. 1/3p. 1 Illustration. , Database: Business Source Complete
Dynamic models and parameter identification of a heavy-duty autonomous vehicle. 2008 International Journal of Vehicle Autonomous Systems. 2008, Vol. 6 Issue 1/2, p122-133. 12p. DOI: 10.1504/IJVAS.2008.016481. , Database: Business Source Complete
ETS FUZZY DRIVER MODEL FOR SIMULTANEOUS LONGITUDINAL AND LATERAL VEHICLE CONTROL 2014 INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY  Volume: 15   Issue: 5   Pages: 781-794  Published: AUG 1 2014
Game theory based autonomous vehicles operation. 2014 International Journal of Vehicle Design. 2014, Vol. 65 Issue 4, p360-383. 24p. DOI: 10.1504/IJVD.2014.063832. , Database: Business Source Complete
Gyro feedback of a hydraulic steering system. 2011 International Journal of Vehicle Autonomous Systems. 2011, Vol. 9 Issue 3/4, p189-202. 14p. , Database: Business Source Alumni Edition
Implementation of Lane Tracking System using a Autonomous RC Toy Car 2013 Journal of IEMEK    Volume: 8   Issue: 5   Pages: 249-254   Published: 2013
Integration of Drive-by-Wire with Navigation Control for a Driverless Electric Race Car 2014 IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE  Volume: 6   Issue: 4   Pages: 23-33   Published:WIN 2014
Investigation of a driver-oriented adaptive cruise control system. 2014 International Journal of Vehicle Design. 2014, Vol. 66 Issue 1, p20-42. 23p. DOI: 10.1504/IJVD.2014.064371. , Database: Business Source Complete
Low Cost Versatile Autonomous Vehicle with Intelligent Control System 2012 Procedia Engineering, Volume 41, 2012, Pages 965-970
MODEL PREDICTIVE CONTROL STRATEGY FOR SMOOTH PATH TRACKING OF AUTONOMOUSVEHICLES WITH STEERING ACTUATOR DYNAMICS 2014 INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY  Volume: 15   Issue: 7   Pages: 1155-1164   Published: DEC 2014
Model reference-based vehicle lateral control for lane departure avoidance. 2014 International Journal of Vehicle Autonomous Systems. 2014, Vol. 12 Issue 3, p284-306. 23p. DOI: 10.1504/IJVAS.2014.063044. , Database: Business Source Alumni Edition
Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data 2014 Transportation Research Part C: Emerging Technologies, Volume 48, November 2014, Pages 285-300
Results on risk-based design and driver modelling from the two European projects: ISi-PADAS and ITERATE. 2013 Transportation Research Part F: Traffic Psychology and Behaviour, Vol 21, Nov, 2013 pp. 267-268. Publisher: Elsevier Science; [Editorial], Database: PsycINFO
Road-model-based and graph-structure-based hierarchical path-planning approach for autonomous vehicles 2014 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING  Volume: 228   Issue: 8   Pages: 909-928   Published: JUL 2014
Terminal sliding mode control of automated car-following system without reliance on longitudinal acceleration information 2014 Mechatronics, In Press, Corrected Proof, Available online 25 October 2014
What determines the take-over time? An integrated model approach of driver take-over after automateddriving 2015 Accident Analysis & Prevention, Volume 78, May 2015, Pages 212-221
Autonomous cars: The tension between occupant experience and intersection capacity 2015 Transportation Research Part C: Emerging Technologies, Volume 52, March 2015, Pages 1-14
Human–machine cooperation in smart cars. An empirical investigation of the loss-of-control thesis. 2015 Safety Science, Vol 72, Feb, 2015 pp. 199-208. Publisher: Elsevier Science; [Journal Article], Database: PsycINFO
Identification of the steering control behaviour of five test subjects following a randomly curving path in a driving simulator. 2014 International Journal of Vehicle Autonomous Systems. 2014, Vol. 12 Issue 1, p44-64. 21p. DOI: 10.1504/IJVAS.2014.057863. , Database: Business Source Complete
Automated Driving Individual and Societal Aspects 2014 TRANSPORTATION RESEARCH RECORD  Issue: 2416   Pages: 64-72   Published: 2014
Customizable hardware design of fuzzy controllers applied to autonomous car driving 2014 Expert Systems with Applications, Volume 41, Issue 16, 15 November 2014, Pages 7046-7060
Driverless highways: creating cars that talk to the roads. 2012 Journal of environmental health  Volume: 75   Issue: 5   Pages: 38-40   Published: 2012-Dec
Efficient Crossroad Wireless LAN Vehicular Communication Network for Remote Driving and Monitoring Autonomous Vehicle 2014 The Journal of The Korea Institute of Electronic Communication Sciences    Volume: 9   Issue: 3   Pages: 387-392  Published: 2014
FLane: An Adaptive Fuzzy Logic Lane Tracking System for Driver Assistance 2011 JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME  Volume: 133   Issue: 2     Article Number: 021002   Published: MAR 2011
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Intersection detection and recognition for autonomous urban driving using a virtual cylindrical scanner 2014 IET INTELLIGENT TRANSPORT SYSTEMS  Volume: 8   Issue: 3   Pages: 244-254   Published: MAY 2014
Modelling and simulation of sensor-guided autonomous driving. 2011 International Journal of Vehicle Design. 2011, Vol. 56 Issue 1-4, p341-366. 26p. , Database: Business Source Complete
On the Road with Junior A tale of optics and driverless cars 2010 PHOTONICS SPECTRA  Volume: 44   Issue: 10   Pages: 34-37   Published: OCT 2010
Preface to the special section on machine vision for intelligent vehicles and autonomous robots 1998 Engineering Applications of Artificial Intelligence, Volume 11, Issue 2, 1 April 1998, Pages 161-162
REAL-TIME VISION-BASED VEHICLE DETECTION AND TRACKING ON A MOVING VEHICLE FOR NIGHTTIME DRIVER ASSISTANCE 2009 INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION  Volume: 24   Issue: 2   Pages: 89-102   Published: 2009
Signal control optimization for automated vehicles at isolated signalized intersections 2014 Transportation Research Part C: Emerging Technologies, Volume 49, December 2014, Pages 1-18
Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud 2014 SCIENTIFIC WORLD JOURNAL    Article Number: 582753   Published: 2014
Surrounding Moving Obstacle Detection for Autonomous Driving Using Stereo Vision 2013 INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS  Volume: 10     Article Number: 261   Published: JUN 3 2013
Teaching DSP in digital control. 2012 International Journal of Electrical Engineering Education , Jul2012, Vol. 49 Issue 3, p291-301, 11p, 6 Black and White Photographs, 2 Diagrams, 1 Chart; DOI: NO_DOI, Database: OmniFile Full Text Select (H.W. Wilson)
Safety Assessment of Driving Strategies of Cognitive Cars 2008 AT-AUTOMATISIERUNGSTECHNIK  Volume: 56   Issue: 12   Pages: 653-661   Published: 2008
Emerging technologies set to revolutionise the field service industry. 2013 Management Services. Winter2013, Vol. 57 Issue 4, p20-21. 2p. 2 Color Photographs. , Database: Business Source Complete
My Other Ride Is a Robot. 2010 Risk Management (00355593) , December 2010, Vol. 57 Issue 10, p48-48, 1p, Database: OmniFile Full Text Select (H.W. Wilson)
New in-vehicle technologies for the mobility of the elderly 2000 ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE  Volume: 33   Issue: 3   Pages: 178-185   Published: JUN 2000
ROBOT, YOU CAN DRIVE MY CAR Autonomous driving will push humans into the passenger seat 2014 IEEE SPECTRUM  Volume: 51   Issue: 6   Pages: 60-90   Published: JUN 2014
Improvements of Insurance Legal Framework on the Commercialization of Autonomous Vehicles 2013 Commercial Cases Review    Volume: 26   Issue: 3   Pages: 367-400   Published: 2013 상사판례연구    Volume: 26   Issue: 3   Pages: 367-400   Published: 2013
Path Planning for Autonomous Navigation of a Driverless Ground Vehicle Based on Waypoints 2014 Journal of Institute of Control, Robotics and Systems    Volume: 20   Issue: 2   Pages: 211-217   Published: 2014
Researches on Collision Avoidance Algorithms for Autonomous Driving System 2012 Journal of the Korean Society for Power System Engineering    Volume: 16   Issue: 1   Pages: 84-90   Published:2012
A Fuzzy Agent System to Control the State Transition for an Autonomous Decision Making on Taxi Driving 2005 KIPS Transactions on Software and Data Engineering    Volume: 12   Issue: 4   Pages: 413-420   Published: 2005
Autonomous intelligent cruise control using front and back information for tight vehicle following maneuvers 1999 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY  Volume: 48   Issue: 1   Pages: 319-328   Published: JAN 1999
Autonomous Intelligent Cruise Control Using Front and Back Information for Tight Vehicle 1999 IEEE Transactions on Vehicular Technology. Jan1999, Vol. 48 Issue 1, p319. 10p. 1 Black and White Photograph, 3 Diagrams, 6 Graphs. , Database: Business Source Complete
Autonomous Tracking Control of Intelligent Vehicle using GPS Information 2008 Journal of the Korean Society for Precision Engineering    Volume: 25   Issue: 10   Pages: 58-66   Published: 2008
Cyclic Executive for Autonomous Driving with Real-Time Smart Cruise Control 2014 Journal of The Korea Society of Computer and Information    Volume: 19   Issue: 1   Pages: 1-8   Published: 2014
Modeling and control of an autonomous vehicle using neural networks 1999 MECANIQUE INDUSTRIELLE ET MATERIAUX  Volume: 52   Issue: 1   Pages: 10-12   Published: MAR 1999
Positioning System for Autonomous Vehicles 2008 REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL  Volume: 5   Issue: 4   Pages: 36-+   Published: OCT 2008
Reliable Multicast MAC Protocol for Cooperative Autonomous Vehicles 2014 The Journal of the Korean Institute of Communication Science B    Volume: 39   Issue: 3   Pages: 180-187   Published: 2014
UNIVERSAL DEVICE FOR AUTOMATIC CONTROL OF A VEHICLE STEERING SYSTEM 2014 Dyna  Volume: 89   Issue: 4   Pages: 398-404   Published: JUL-AUG 2014
The drive for driverless cars [Reflections]. 2014 IEEE Spectrum. Jul2014, Vol. 51 Issue 7, p28-28. 1p. DOI: 10.1109/MSPEC.2014.6840796. , Database: Business Source Complete
Development of autonomous system using magnetic position meter 2007 Journal of Korean Institute of Intelligent Systems    Volume: 17   Issue: 3   Pages: 343-348   Published: 2007
Real time GPS position data correction using the vanishing point and a monocular vision system for autonomous land navigation 2004 Signal Processing    Volume: 41   Issue: 06   Pages: 1045-1052   Published: 2004
Roadway recognition performance improvement for an autonomous vehicle using magnetic sensor 2003 Journal of Sensor Science and Technology    Volume: 12   Issue: 6   Pages: 3-217   Published: 2003
Self-Driving Cars and the Urban Challenge 2008 IEEE Intelligent Systems , 2008; Vol. 23 Issue 2, 66-68, 3p, Database: Ergonomics Abstracts
Vehicle Lateral Fuzzy Control Estimation 2010 REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL  Volume: 7   Issue: 2   Pages:91-+   Published: APR 2010
Vehicle-to-Vehicle Communication Technology Industry Awareness Driven by Driverless Cars. 2015 Microwave Journal , Mar2015, Vol. 58 Issue 3, p61-62, 2p, Database: OmniFile Full Text Select (H.W. Wilson)
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