3D Lane Tracker
Overview
A research project for the L4 ADAS system utilizing Robot Operating System, Docker, and C++ for temporal and multi-model data fusion of perception and odometry data for 3d lane tracking.
Key Contributions
- ●Contributing to ROS2 nodes and EKF based filtering for road modelling for L4 ADAS.
- ●Developing a custom docker container with browser integration for development and testing.
Technologies
ROS2C++Sensor FusionExtended Kalman FilterDocker
Team
- Software Motion Team
- Usama Jahangir