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Driving Behavior Assessment and Anomaly Detection for Intelligent Vehicles
2019
2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
Ensuring safety of both traffic participants and passengers is an important challenge for rapidly growing autonomous vehicle technology. To this purpose, intelligent vehicles not only have to drive safe but must be able to safeguard itself from other abnormally driving vehicles and avoid potential collisions. Anomaly detection is one of the essential abilities in behavior analysis, which can be used to infer the moving intention of other vehicles and provide evidence for collision risk
doi:10.1109/cis-ram47153.2019.9095790
dblp:conf/ram/YangRPLW19
fatcat:7mctznxzrnbg7lioisl3toaga4