Keywords
Traffic safety
Travel security
Submitted : 2024-09-15
Accepted : 2024-09-30
Published : 2024-10-15
Abstract
This paper introduces an intelligent image recognition system integrated into a wheelchair based on deep learning in cold environments, aiming to improve the convenience and safety of disabled individuals. The system adopts advanced image recognition technology to monitor road conditions in real-time through the camera and to detect and measure distance to foreign objects on the road. The system visualizes the detection results on the wheelchair screen to assist the user in avoiding and improving the safety of their daily travel. In addition, the system also includes crawler tracks, seat heating, snow and rain protection, and other functions. The wheelchair has a wide range of application prospects and development potential. It is expected to be widely used in the future, providing a strong guarantee for the safe travel of disabled individuals in China.
References
Bai C, Wang J, Cheng X, et al., 2022, Fusing Laser SLAM for Driverless Wheelchair Spatial Positioning Optimization. Progress in Laser and Optoelectronics, 59(02): 485–493.
Zhang J, Zhang C, Zeng S, et al., 2024, Autonomous Following and Obstacle Avoidance System of the Electric Wheelchair in a Specific Scenario. Sensors and Microsystems, 43(05): 62–66.
Liu K, Li P, Lin Q, et al., 2024, Multifunctional Shared Wheelchair Based on Laser SLAM Autonomous Navigation Technology. Mechanical Engineer, 2024(04): 45–48.
Zhu H, Ge H, 2023, Analysis of the Dynamics of Wheel Climbing Wheelchair and Wheelchair Switching. Mechanical Transmission, 47(12): 158–168.
Song C, Chen X, 2023, Intelligent AI-Based Wheelchair Design. Microcomputer Applications, 39(11): 27–29 + 33.
Fu Z, Shang W, 2023, An Intelligent Wheelchair Design. Modern Instruments and Medical Care, 29(04): 41–45.