Multi-Sensor Fusion Obstacle Sensing and Detection of Smart Cars for Assisting the Elderly

Amidst the significant advancements in the field of intelligent vehicles by numerous scholars, the challenge of obstacle perception technology in complex environments remains a crucial issue, particularly for elderly drivers. To address this, we propose a dedicated smart in-vehicle system for elderly drivers, leveraging multi-sensor fusion technology. By integrating sensor data and vehicle status information, our system accurately determines obstacle types and distances, enhancing perception precision. With environmental information acquisition and sensor data processing capabilities, the system enables real-time and precise obstacle detection and recognition, thereby improving the vehicle's adaptability and safety in complex environments. Through meticulous sensor selection, placement, and calibration, coupled with rigorous experimental testing, our system has demonstrated remarkable performance, achieving a recognition rate of up to 100% and maintaining an average recognition rate above 93%. In conclusion, this multi-sensor fusion-based smart in-vehicle system holds immense value in enhancing driving safety and adaptability for elderly drivers, providing a safer and more convenient driving experience while showcasing its great potential for application in complex environments.