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ETD Abstract Container

Abstract Header

Limit Handling Vehicle Control for Improving Automated Vehicle Safety

Zhao, Tong
http://orcid.org/0000-0003-3979-1404
http://rave.ohiolink.edu/etdc/view?acc_num=osu1669963898528047

Abstract Details

2022, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
Increased driving safety is a potential benefit of introducing higher levels of automation in vehicles. Compared to human drivers, an Automated Driving System (ADS) can leverage the perception capability of various sensors and the handling capability of modern control technology to bypass humans in safe driving. Technological advances in artificial intelligence (AI) have enabled the creation of AI players that beat the best humans in chess, Go, and computer games such as League of Legions and DOTA2. However, despite the power of AI and engineered automation, we shall not ignore that humans have demonstrated exceptional skills in vehicle handling, especially in motorsport competitions. We have yet to witness automated racecars that can outrun the best Formula 1 or World Rally Championship drivers. Expert human drivers are still at the pinnacle of vehicle handling skills because the optimization of driving control involves understanding the vehicle dynamics and the limit such dynamics hold, as well as the willingness to step out of comfort zones. We are not there yet in automated vehicles. This dissertation focuses on vehicles' automated planning and control at their handling limits. In this dissertation, a limit-handling driving mode denominated as drifting is selected to enhance vehicle handling skills using automated drifting maneuvers. The dissertation also provides a framework to justify using a limit-handling control mode when a traffic emergency demands extra performance. The resulting algorithms can serve as a reference for enhancing automated vehicle handling skills.
Giorgio Rizzoni (Advisor)
Qadeer Ahmed (Committee Member)
Joel Paulson (Committee Member)
Parinaz Naghizadeh (Committee Member)
249 p.
Automotive Engineering; Mechanical Engineering; Transportation
Automated Vehicle; Vehicle Control; Drift Control; Vehicle Limit-handling; Collision Avoidance; Vehicle Safety; Formal Method; Vehicle Dynamics

Recommended Citations

Citations

  • Zhao, T. (2022). Limit Handling Vehicle Control for Improving Automated Vehicle Safety [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1669963898528047

    APA Style (7th edition)

  • Zhao, Tong. Limit Handling Vehicle Control for Improving Automated Vehicle Safety. 2022. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1669963898528047.

    MLA Style (8th edition)

  • Zhao, Tong. "Limit Handling Vehicle Control for Improving Automated Vehicle Safety." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1669963898528047

    Chicago Manual of Style (17th edition)

osu1669963898528047
241
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This open access ETD is published by The Ohio State University and OhioLINK.