Vision-Based Autonomous Driving System (ViBADS)
Overview
The Vision-Based Autonomous Driving System (ViBADS) is a low-cost, visually guided autonomous navigation solution designed for ride-on vehicles. Instead of relying on expensive sensors like LiDAR or complex AI models, ViBADS uses a single forward-facing camera and visual looming algorithms to detect obstacles and adjust steering and speed in real-time. Developed using the Jetson Nano and ESP32, the system processes visual data to drive safely through dynamic environments—like the ·¬ÇÑÖ±²¥breezeway—without human input. ViBADS is built to be affordable, scalable, and efficient, making it a promising solution for real-world autonomous mobility applications.
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Community Benefit
ViBADS provides a practical step forward in making autonomous vehicle technology more accessible to communities, schools, and research institutions with limited resources. By eliminating the need for costly sensors and high-powered computing, this project demonstrates that safe, real-time navigation can be achieved affordably.
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Team MembersÌý
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Sponsored By
Dr. Juan Yepes and Dr. Daniel Raviv