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[chapter]
2016
Bayesian Environment Representation, Prediction, and Criticality Assessment for Driver Assistance Systems
This work deals with the questions i) how to represent the driving environment in an environment model, ii) how to obtain such a representation, and iii) how to predict the traffic scene for criticality assessment. Bayesian inference provides the common framework of all designed methods. First, Parametric Free Space (PFS) maps are introduced, which compactly represent the vehicle environment in form of relevant, drivable free space while suppressing irrelevant details of common occupancy grids.
doi:10.51202/9783186797124-i
fatcat:lfvf7xy4mzgxdgpzgglth7jlzy