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Found 3 papers, 1 papers with code
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms
Object detection in 3D is a crucial aspect in the context of autonomous vehicles and drones.
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection
We have thus demonstrated that it is possible to significantly speed up a 3D object detector in LiDAR point clouds with a small decrease in detection efficiency.
Optimisation of the PointPillars network for 3D object detection in point clouds
In this paper we present our research on the optimisation of a deep neural network for 3D object detection in a point cloud.
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