This repository provides a TensorFlow implementation of the VoxelNet architecture for 3D object detection in autonomous driving scenarios. The system processes 3D point cloud data from Velodyne sensors to detect objects like cars and pedestrians. It includes a VFE (Voxel Feature Encoding) layer and an RPN (Region Proposal Network) for region-based detection, with support for data augmentation during training.