Title :
Recognizing hazardous situations among vehicles in a traffic world
Author :
Mock-Hecker, R. ; Zeller, M.
Author_Institution :
Res. Inst. for Appl. Knowledge Process., Ulm Univ., Germany
Abstract :
The use of a hierarchical plan description language to discriminate hazardous traffic situations from safe situations is described. A plan recognition component represents hypotheses about the drivers plans using this plan-description language. A conflict detection component determines conflicts among these plan hypotheses. The first step of conflict detection is done by qualitative reasoning, while the final decision requires quantitative calculation of trajectories. A simulated overtaking scenario illustrates the approach
Keywords :
accidents; common-sense reasoning; heuristic programming; road traffic; road vehicles; safety; traffic engineering computing; conflict detection; hazardous traffic situations; hierarchical plan description language; hypotheses; plan hypotheses; plan recognition; plan-description language; qualitative reasoning; quantitative calculation; simulated overtaking scenario; traffic world; trajectories; vehicles; Accelerated aging; Autonomous agents; Information processing; Information security; Mobile robots; Remotely operated vehicles; Road accidents; Road vehicles; Traffic control; Vehicle dynamics;
Conference_Titel :
AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference
Conference_Location :
Tucson, AZ
Print_ISBN :
0-8186-4020-0
DOI :
10.1109/AIHAS.1993.410596
