StarNet shows that sampling-based proposals with a local point-based network match or beat convolutional baselines for LiDAR object detection while enabling flexible inference cost.
A multi-sensor fusion system for moving object detection and tracking in urban driving environments
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StarNet: Targeted Computation for Object Detection in Point Clouds
StarNet shows that sampling-based proposals with a local point-based network match or beat convolutional baselines for LiDAR object detection while enabling flexible inference cost.