maudzung/SFA3D
PyTorch implementation of a real-time 3D object detector for autonomous vehicles using LiDAR point cloud data.
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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.
Frequently asked
- What is maudzung/SFA3D?
- PyTorch implementation of a real-time 3D object detector for autonomous vehicles using LiDAR point cloud data.
- Is SFA3D open source?
- Yes — maudzung/SFA3D is open source, released under the MIT license.
- What language is SFA3D written in?
- maudzung/SFA3D is primarily written in Python.
- How popular is SFA3D?
- maudzung/SFA3D has 1.1k stars on GitHub.
- Where can I find SFA3D?
- maudzung/SFA3D is on GitHub at https://github.com/maudzung/SFA3D.