I build perception systems for the real world β lane detection, vehicle detection, and collision warning systems inspired by modern ADAS pipelines.
FCW prototype using YOLOv8 + OpenCV β detects vehicles in lane and triggers collision alerts based on bounding box proximity estimation.
Python YOLOv8 OpenCV Hough Transform ADAS
π‘ YOLO ADAS Detection
Real-time object detection with distance estimation using YOLOv8 and OpenCV.
Python YOLOv8 Distance Estimation Real-time Detection
π’ Lane Detection ADAS
Real-time lane detection system built with Python and OpenCV as part of an ADAS engineering portfolio.
Python OpenCV Lane Detection ROI Masking
| Domain | Tools & Technologies |
|---|---|
| Computer Vision | OpenCV, Hough Transform, Edge Detection, ROI Masking |
| Deep Learning | YOLOv8, Ultralytics, Object Detection |
| ADAS Systems | Lane Detection, Vehicle Detection, Collision Warning |
| Languages | Python, NumPy |
"Building the perception layer for safer autonomous systems."
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