GitHub repository
A C++/TensorRT inference module for RangeNet++, enabling fast LiDAR semantic segmentation for robotics applications.
What is GitHub repository?
Rangenet Library is an inference module for the RangeNet++ deep learning model, which performs semantic segmentation on LiDAR point cloud data. It provides a C++ interface optimized with TensorRT to classify objects in 3D scans in real-time, enabling applications like autonomous driving and robotic perception.
Robotics researchers and engineers working on autonomous vehicles, semantic SLAM, or LiDAR perception systems who need efficient, real-time semantic segmentation of point clouds.
Developers choose this library for its high-performance C++ implementation, TensorRT acceleration for low-latency inference, and seamless integration with robotics frameworks, making it ideal for real-time applications where speed is critical.
Overview
Inference module for RangeNet++ (milioto2019iros, chen2019iros)
Use Cases
Best For
- Real-time semantic segmentation of LiDAR scans for autonomous vehicles
- Building semantic SLAM systems like SuMa++
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