Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations

作者: Andreas Mogelmose , Mohan M. Trivedi , Thomas B. Moeslund

DOI: 10.1109/IVS.2015.7225707

关键词:

摘要: This paper presents a monocular and purely vision based pedestrian trajectory tracking prediction framework with integrated map-based hazard inference. In Advanced Driver Assistance systems research, lot of effort has been put into detection over the last decade, several are indeed showing impressive results. Considerably less processing detections further. We present system for pedestrians, which on bounding boxes tracks pedestrians is able to predict their positions in near future. The combined module which, car's GPS position acquires map uses road information know where car can drive. Then warns driver about at risk, by combining hazardous areas probabilistic all observed pedestrians.

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