Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
Daniel Bauer,Lars Kuhnert,Lutz Eckstein,Daniel Bauer,Lars Kuhnert,Lutz Eckstein
With the recent boost in autonomous driving, increased attention has been paid on radars as an input for occupancy mapping. Besides their many benefits, the inference of occupied space based on radar detections is notoriously difficult because of the data sparsity and the environment dependent noise (e.g. multipath reflections). Recently, deep learning-based inverse sensor models, from here on cal...
