Semi-autonomous wheelchair developed using a unique camera system configuration biologically inspired by equine vision.

The research discusses the creation of a semi-autonomous wheelchair with a unique camera system designed to mimic horse vision. This innovative approach aids real-time autonomous navigation by mapping static environment components and detecting surrounding dynamic obstacles.

Article Explanation

The paper talks about the development of an innovative semi-autonomous wheelchair system. The system is equipped with a unique camera configuration inspired by the vision of horses.

• The camera system uses stereoscopic vision mimicking 3D depth perception, which allows for real-time mapping in front of the wheelchair. This is critical in recognising any static elements, with the path, in an otherwise unknown environment.
• Another key feature of this camera system is the spherical camera providing 360-degree monocular vision. This is particularly helpful in detecting dynamic obstacles surrounding the wheelchair to avoid accidental collisions.
• When combined, these systems aid in minimizing blind spots, promoting safer and more efficient navigation in any surroundings.

Vision System and Control Strategies

Besides the novel vision system, the research also incorporated shared control strategies to provide intelligent assistive guidance while navigating the wheelchair.

• In simple terms, the shared control strategies work with any hands-free wheelchair control technology to navigate the wheelchair smoothly, even in unknown environments. This can increase the autonomy of the system, as it can steer, stop, and navigate the wheelchair based on the data provided by the camera.
• The proposed system’s primary role is to ensure the wheelchair’s safe navigation, with particular attention to avoiding potential collisions, both with static and dynamic objects.

Experimental Trials and Results

The wheelchair system underwent experimental trials with patients at the Royal Rehabilitation Centre (RRC) in Ryde. The results showed that the developed system significantly assisted users in safe navigation within the RRC, avoiding potential collisions. This proves the utility and viability of this new technology in a real-world scenario, by showing its ability to noticeably increase users’ navigation safety and independence.