Hardware-software implementation of a DNN for 3D object detection using FINN - a demo

In this demo, we present a hardware-software system for 3D object detection in LiDAR point clouds based on a deep neural network. The PointPillars architecture was used in this research, as it is a reasonable compromise between detection accuracy and computational complexity. The Brevitas tool was used for network quantisation and the FINN tool for hardware-software implementation in the reprogrammable Zynq UltraScale+ MPSoC device.