Senior year student passionate about computer vision and autonomous systems. Primarily Python.
VisionPilot ⭐ 13 A modular Python project for autonomous driving research. It combines computer vision, deep learning, and real-time sensor fusion to build perception and control systems for autonomous vehicles.
- Lane detection (Traditional CV + SCNN)
- Traffic sign & light detection and classification
- Vehicle & pedestrian detection
- Multi-sensor fusion (Camera, LiDAR, Radar, GPS, IMU)
- Real-time autonomous driving with PID control
- Emergency braking (AEB) and cruise control
- Live visualization with Foxglove
Check out the project in action on my YouTube – demos covering lane keeping, traffic sign detection, emergency braking, and more.
Computer Vision • Deep Learning • Real-time Systems • Sensor Fusion • Autonomous Driving • PyTorch • OpenCV • Docker
Developing Level 4 autonomous driving systems, whether for cars, trucks, buses, or taxis. The goal is robust, production-ready autonomous perception and control.
I'm always open to collaboration on VisionPilot or other projects. If you're interested in autonomous systems, computer vision, or just want to help out, feel free to reach out or submit a PR.