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Deep End-to-end 3D Person Detection from Camera and Lidar
2019
2019 IEEE Intelligent Transportation Systems Conference (ITSC)
We present a method for 3D person detection from camera images and lidar point clouds in automotive scenes. The method comprises a deep neural network which estimates the 3D location and extent of persons present in the scene. 3D anchor proposals are refined in two stages: a region proposal network and a subsequent detection network. For both input modalities high-level feature representations are learned from raw sensor data instead of being manually designed. To that end, we use Voxel Feature
doi:10.1109/itsc.2019.8917366
dblp:conf/itsc/RothJG19
fatcat:2kubr3qfg5hz7jyj3ntgdrzylq