Collision avoidance systems significantly improve power wheelchair safety by acting as a proactive safety net that detects and responds to environmental hazards. These systems enhance user security through several key mechanisms:

• Real-Time Obstacle Detection: Using sensors like ultrasonic (for close-range accuracy) and LiDAR (for long-range, 360-degree mapping), the chair continuously scans for furniture, walls, or people in its path.
• Active Intervention: When a potential collision is detected, the system can provide auditory alerts or haptic feedback (such as vibrations in the joystick). If the user does not react, advanced systems can automatically slow the chair or apply the brakes.
• Reduced Cognitive Load: By monitoring angles that may be difficult for the user to see, these systems decrease the mental stress of navigating tight indoor spaces or crowded outdoor areas, allowing the user to focus more on their destination.
• Predictive AI Navigation: Modern smart wheelchairs use sensor fusion and AI to classify objects (distinguishing between a wall and a moving person) and predict their movements, creating a ‘danger zone’ that triggers smooth, automatic adjustments to the driving path.
• Enhanced Independence for Complex Needs: For users utilizing alternative driving interfaces (like sip-and-puff or head arrays) who may have limited visual scanning abilities, these systems provide a critical layer of automated protection.

• Collision Avoidance Systems: Complete Guide to Smart Wheelchair Tech