Driving Autopilot with Personalization Feature for Improved Safety and Comfort
Ioannou, Petros A.
PublisherInstitute of Electrical and Electronics Engineers Inc.
SourceIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Google Scholar check
MetadataShow full item record
Self-driving cars are gaining momentum despite the number of considerable technical and human factor issues that remain controversial. Human acceptance and trust of an automated vehicle to transport people in traffic environments under different driving conditions is a challenging task. Perceived, as well as actual safety will play a major role in accepting automated vehicles. Perceptions however vary from one individual to another due to different reaction times, speed perception, and time constants during dynamical changes etc. The closer the automated vehicle dynamics are with those of a manually driven vehicle the more likely that the comfort level of the automated vehicle user will improve. In this paper we review these issues and discuss how the autopilot personalization feature can help to improve both the perceived and actual driving safety and comfort. We present methodology that allows automatic autopilot personalization based on driver performance models. The methodology takes into account driver's preferences for a particular trip and manual parameters fine-tuning by the driver. We demonstrate how the methodology can be applied on an example of adaptive cruise control and automatic lane change personalization. We support the example with data collected on an experimental vehicle. © 2015 IEEE.
Showing items related by title, author, creator and subject.
Gharavi, H.; Prasad, K. V.; Ioannou, Petros A. (2007)This introductory article overviews the progress of electrical, electronics, software, and other relevant technologies that shape the modern automobile. Some of these technologies are described in more detail in the articles ...
Lin, C.-C.; Filipi, Z.; Louca, Loucas S.; Peng, H.; Assanis, D.; Stein, J. (2004)The main contributions of this paper are the development of a forward-looking hybrid vehicle simulation tool, and its application to the design of a power management control algorithm, The hybrid electric vehicle simulation ...
Validation and use of SIMULINK integrated, high fidelity, engine-in-vehicle simulation of the international class VI truck Assanis, D.; Filipi, Z.; Gravante, S.; Grohnke, D.; Gui, X.; Louca, Loucas S.; Rideout, G.; Stein, J.; Wang, Y. (2000)This work presents the development, validation and use of a SIMULINK integrated vehicle system simulation composed of engine, driveline and vehicle dynamics modules. The engine model links the appropriate number of ...