Abstract The unmanned vehicle shows great potential in national economic. The risk level of unmanned vehicle has direct impact on the development of the unmanned transport industry. The Bayes net for the risk of unmanned vehicle are created. The parameters of net are analyzed, and the quantitative computational method for the evaluation is given. A case study on the typical scene is introduced. The simulation proved the feasibility of the method.
The Risk Assessment for Unmanned Vehicle Using Bayesian Network
01.01.2017
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Transport security , Risk assessment , Bayesian network , Unmanned vehicle Computer Science , Information Storage and Retrieval , Data Mining and Knowledge Discovery , Special Purpose and Application-Based Systems , System Performance and Evaluation , Simulation and Modeling , Environmental Geography
Europäisches Patentamt | 2024
|Vehicle collision risk assessment method and device, unmanned vehicle and storage medium
Europäisches Patentamt | 2024
|