maudzung/SFA3D
PyTorch implementation of a real-time 3D object detector for autonomous vehicles using LiDAR point cloud data.

Velocity · 7d
+0.5
★ / day
Trend
→steady
star history
This repository provides a super fast and anchor-free 3D object detection model for processing 3D LiDAR point clouds. It is designed for real-time inference on autonomous driving datasets like KITTI, enabling detection of objects such as cars, pedestrians, and cyclists from raw point cloud data. The system supports distributed training with PyTorch and includes ROS integration for deployment in robotics applications.