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Found 2 papers, 1 papers with code
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
The rapid development of embedded hardware in autonomous vehicles broadens their computational capabilities, thus bringing the possibility to mount more complete sensor setups able to handle driving scenarios of higher complexity.
BirdNet: a 3D Object Detection Framework from LiDAR information
Understanding driving situations regardless the conditions of the traffic scene is a cornerstone on the path towards autonomous vehicles; however, despite common sensor setups already include complementary devices such as LiDAR or radar, most of the research on perception systems has traditionally focused on computer vision.
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