Probability-based decision making for automated highway driving

Axel Niehaus, Robert Frank Stengel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Real-time, rule-based guidance systems for autonomous vehicles on limited-access highways are investigated. The goal of these systems is to plan trajectories that are safe while satisfying the driver's requests based on stochastic information about the vehicle state and the surrounding traffic. A rule-based system is used for high-level planning. Given a stochastic model of the traffic situation driven by current measurements, the probable evolution of traffic and the best trajectory to follow are predicted. Simulation results assess the impact of uncertain knowledge of traffic on the performance of the guidance system, showing that uncertainty can and must be taken into account.

Original languageEnglish (US)
Title of host publicationProceedings - Society of Automotive Engineers
PublisherPubl by SAE
Pages1125-1136
Number of pages12
EditionP-253 pt 2
ISBN (Print)1560911913
StatePublished - Dec 1 1991
EventVehicle Navigation & Information Systems Conference Proceedings Part 2 (of 2) - Dearborn, MI, USA
Duration: Oct 20 1991Oct 23 1991

Other

OtherVehicle Navigation & Information Systems Conference Proceedings Part 2 (of 2)
CityDearborn, MI, USA
Period10/20/9110/23/91

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Niehaus, A., & Stengel, R. F. (1991). Probability-based decision making for automated highway driving. In Proceedings - Society of Automotive Engineers (P-253 pt 2 ed., pp. 1125-1136). Publ by SAE.