We present a novel approach for vehicle-pedestrian collision risk analysis that incorporates mutual situational awareness, a degree of potential motion coupling and the spatial layout of the environment. The approach uses a Dynamic Bayesian Network (DBN) for modeling the individual object paths; collision risk is subsequently computed by an intersection operation.
Driver and pedestrian awareness-based collision risk analysis
2016-06-01
1508579 byte
Conference paper
Electronic Resource
English
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