A machine learning approach for personalized autonomous lane change initiation and control

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2017, Pages 1590-1595

  Vallon, Charlott ^a   Ercan, Ziya ^b   Carvalho, Ashwin ^c   Borrelli, Francesco ^c  

^a ETH ZURICH   (Switzerland)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER CIRCUITS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; VEHICLES;

AUTONOMOUS DRIVING; CONTROL FRAMEWORK; DATA-DRIVEN MODEL; DECISION LOGIC; DRIVING STYLES; HUMAN DRIVERS; MACHINE LEARNING APPROACHES; RELATIVE VELOCITY;

DRIVER TRAINING;

EID: 85028034000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2017.7995936     Document Type: Conference Paper

References (15)

1. C. Reports, "Guide to car safety features, " accessed Jan 5 2017. [Online]. Available: http://www.consumerreports.org/cro/2012/04/guideto-safety-features/index.htm
2. J. Hsu, "75% of u.s. drivers fear self-driving cars, but its an easy fear to ge over, " accessed Jan 5 2017. [Online]. Available: http://spectrum.ieee.org/cars-That-Think/transportation/selfdriving/driverless-cars-inspire-both-fear-And-hope
3. S. Lefevre, A. Carvalho, and F. Borrelli, "Autonomous car following: A learning-based approach, " in 2015 IEEE Intelligent Vehicles Symposium (IV), June 2015, pp. 920-926.
4. S. Hetrick, "Examination of driver lane change behavior and the potential effectiveness of warning onset rules for lane change or side crash avoidance systems, " 1997.
5. C. Hatipoglu, U. Ozguner, and K. A. Redmill, "Automated lane change controller design, " IEEE Trans. Intell. Transport. Syst., vol. 4, no. 1, pp. 13-22, March 2003.
6. M. Kuderer, S. Gulati, and W. Burgard, "Learning driving styles for autonomous vehicles from demonstration, " in IEEE International Conference on Robotics and Automation, ICRA, 2015, pp. 2641-2646.
7. T. Shamir, "How should an autonomous vehicle overtake a slower moving vehicle: design and analysis of an optimal trajectory, " IEEE Trans. Automat. Contr., vol. 49, no. 4, pp. 607-610, April 2004.
8. W. Yao, H. Zhao, P. Bonnifait, and H. Zha, "Lane change trajectory prediction by using recorded human driving data, " in 2013 IEEE Intelligent Vehicles Symposium (IV), June 2013, pp. 430-436.
9. G. Freitas and B. Hamner, "A practical obstacle detection system for autonomous orchard vehicles, " in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, pp. 3391-3398.
10. U. Muller, J. Ben, E. Cosatto, B. Flepp, and Y. L. Cun, "Offroad obstacle avoidance through end-To-end learning, " in Advances in Neural Information Processing Systems 18, Y. Weiss, P. B. Scholkopf, and J. C. Platt, Eds. MIT Press, 2006, pp. 739-746.
11. M. Treiber and A. Kesting, Traffic Flow Dynamics. Berlin, Germany: Springer, pp. 181-201.
12. R. Burbidge and B. Buston, An Introduction to Support Vector machines for Data Mining. Young OR 12.
13. L. Rosasco, E. D. Vito, A. Caponnetto, M. Piana, and A. Verri, "Are loss functions all the same?" Neural Computation, vol. 16, no. 5, pp. 1063-1076, 2004.
14. J. Kong, M. Pfeiffer, G. Schildbach, and F. Borrelli, "Kinematic and dynamic vehicle models for autonomous driving control design, " in 2015 IEEE Intelligent Vehicles Symposium (IV), June 2015, pp. 1094-1099.
15. Z. Ercan, A. Carvalho, S. Lefèvre, H. Tseng, M. Gokasan, and F. Borrelli, "Torque-based steering assistance for collision avoidance during lane changes, " in 13th International Symposium on Advanced Vehicle Control, 2016.