障碍物
超声波传感器
激光雷达
碰撞
计算机科学
传感器融合
预警系统
避碰
计算机视觉
融合
遥感
人工智能
实时计算
声学
地理
计算机安全
电信
物理
语言学
哲学
考古
作者
Gayatri Gurav,P. Balakrishnan
标识
DOI:10.1109/r10-htc57504.2023.10461728
摘要
Recently, passenger vehicles were equipped with an Advanced Driver Assistance System (ADAS) feature in assisting drivers to control the vehicle, which gives an alarming signal about possible dangers. Obstacle collision warning (OCW) uses sensors installed in front of the vehicle to detect distance between the front obstacle and the vehicle, to avoid a collision. In common, the types of sensors used in obstacle detection are camera, radar, ultrasonic sensor, and so on. In this paper, fusion of ultrasonic sensor and Light Detection and Ranging (LiDAR) is proposed, which provides extended range detection and increased accuracy. Hardware implementation of ultrasonic sensor and Leddar M16 LiDAR sensor fusion is carried out using an Arduino UNO controller and for, in vehicle communication Controller Area Network (CAN) protocol were used. The outcome of both short and long-distance obstacle detection using ultrasonic and LiDAR are compared.
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