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 language | English (US) |
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| Title of host publication | Proceedings - Society of Automotive Engineers |
| Publisher | Publ by SAE |
| Pages | 1125-1136 |
| Number of pages | 12 |
| Edition | P-253 pt 2 |
| ISBN (Print) | 1560911913 |
| State | Published - Dec 1 1991 |
| Event | Vehicle Navigation & Information Systems Conference Proceedings Part 2 (of 2) - Dearborn, MI, USA Duration: Oct 20 1991 → Oct 23 1991 |
Other
| Other | Vehicle Navigation & Information Systems Conference Proceedings Part 2 (of 2) |
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| City | Dearborn, MI, USA |
| Period | 10/20/91 → 10/23/91 |
All Science Journal Classification (ASJC) codes
- Engineering(all)