Autonomously Driven Wheelchair

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Autonomously Driven Wheelchair

Milind Rane, Mayank Nikose, Kumar Nandwalkar, Karansingh Pardeshi, Palash Bhivgade, Prathamesh Palshikar

Dept. of E&TC

VIT, Pune-411037

Abstract—The development of an autonomously driven wheelchair aims to enhance the mobility and independence of individuals with physical disabilities. This research focuses on creating a wheelchair capable of navigating to a predetermined home location using GPS technology and magnetometers for directional guidance. The system can set and follow multiple waypoints, integrating data from three GPS satellites and a magnetometer. Additionally, a 360-degree camera setup enables path identification and real-time obstacle detection, utilizing Google Maps API for accurate positioning and route guidance. An ultrasonic sensor is employed for obstacle avoidance, ensuring a safe and efficient travel experience. The implementation and testing of this system demonstrate significant advancements in autonomous navigation for assistive devices.

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