On-road risk assessment is one of the important topics for intelligent vehicles research. Efficiency of risk assessment is affected by lack of on-road vehicles information, which should be solved by The Vehicular Ad-Hoc Network (VANET). In this paper, a regional vehicles hazard level estimation method, which employs Ising model to explain the inter-vehicles relationship, is proposed, an inter-vehicles relationship model is constructed, and corresponding parameters mapping relationship is studied. Then Ising model’s energy formula is used to illustrate regional hazard level. Moreover, based on the inter-vehicles relationship, we present an approach to build a regional threat distribution map, which indicates the passing threat of a certain ego-car. A series of experiments are done to examine the efficiency of the proposed method. Experiment results show that the proposed method can produce a reasonable danger evaluation for an ego-car.
The Road Regional Hazard Level Evaluation Method Based on Ising Model
2018 IEEE Intelligent Vehicles Symposium (IV) ; 1937-1942
2018-06-01
7286644 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Europäisches Patentamt | 2024
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