Probability-Based Decision Making for Automated Highway Driving Princeton University Department of Mechanical and Aerospace Engrg

Format:

Conference/Event

Author/Creator:

Niehaus, Axel, author.

Conference Name:

Vehicle Navigation & Instrument Systems (1991-10-01 : Warrendale, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1991

Summary:

AbstractReal-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 rulebased 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

Notes:

Vendor supplied data

Publisher Number:

912869

Access Restriction:

Restricted for use by site license