In robotic applications gridmaps are a common representation of the environment. For the automotive field, radar as sensing technology is suitable due to its robustness. This paper presents two radar-based grid-mapping algorithms for automotive applications like self-localization. These algorithms involve first an amplitude-based approach, which gains information about the RCS of all targets, and second an occupancy grid-mapping approach with an adapted inverse sensor measurement model. Experiments show that both gridmapping algorithms result in adequate representations of the environment.
Automotive radar gridmap representations
2015-04-01
747834 byte
Conference paper
Electronic Resource
English
Springer Verlag | 2015
|SAE | 1974
|Springer Verlag | 2019
|High Performance Automotive Radar
Online Contents | 1995
|Tema Archive | 1991
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