Awesome GitHub RepositoriesPerception Pipelines

Autoware is a modular autonomous driving stack and open-source platform for advanced driver assistance systems. It functions as an integrated operating environment that manages the full pipeline from sensor data processing to vehicle actuation, utilizing the ROS 2 robotics framework for distributed communication and hardware abstraction. The system provides a comprehensive software architecture to enable autonomous driving across various vehicle platforms. It coordinates perception, planning, and control systems to operate vehicles without human intervention. The platform covers several core

This is an open-source autonomous driving perception pipeline that processes camera and lidar sensor data to detect, track, and fuse objects in real-world driving environments. The project integrates an end-to-end perception workflow combining sensor calibration, deep learning object detection, Kalman filter tracking, and sensor fusion for robust scene understanding. The pipeline includes camera calibration tools to remove lens distortion from raw images, deep learning model training for object classification and detection, and multi-object tracking using Kalman filters with data association

This project is a ROS2 depth camera driver that streams synchronized RGB, depth, infrared, and IMU data from Intel RealSense sensors as ROS2 topics. It functions as a managed camera interface using lifecycle nodes with explicit state transitions to ensure deterministic startup and shutdown within robotic systems. The driver includes an RGBD perception pipeline that aligns depth to color and generates 3D point clouds for spatial analysis. It features a depth camera calibration tool that provides ROS2 services for reading and writing on-device calibration and safety configuration parameters. T