Overview
This project validates core ADAS capabilities on a compact test platform, covering perception, control decisions, and execution in a closed loop.
My Responsibilities
- Designed the system architecture and split modules into perception, control, and communication.
- Implemented the visual inference pipeline for lane detection and obstacle recognition.
- Built command dispatch and status feedback mechanisms for stable end-to-end operation.
Key Results
- Delivered lane-keeping and obstacle-avoidance capability in test scenarios.
- Established reusable tuning and logging workflows to speed up iteration.
- Reserved extension points for future multi-sensor fusion.
Tech Stack
Python OpenCV ROS Embedded Linux