摘要
洗扫车在道路清洗作业过程中,往往会遇到一些复杂的道路环境,如作业区域有高大遮挡物或者是路边有站立的行人或停放的车辆等,驾驶员受驾驶水平的影响,时常不能第一时间观察到遮挡物采取主动避让,从而导致车辆对行人和路边停放车辆造成伤害或者扫盘结构因碰撞而损坏。针对以上问题,采用深度学习方法探究洗扫车作业目标检测智能算法,构建实时准确的扫盘避障应用系统。
During the road cleaning operation,the truck mounted sweeper often encounters some complicated road environments,such as high shelters on the work surface area,pedestrians standing on the roadside,or parked vehicles,etc.,which are affected by the driving level of the driver.It is often not possible to immediately observe that the obstructions take the initiative to avoid,which may result in damage to the sweeping structure due to collision or damage to pedestrians and vehicles parked on the roadside.Aiming at the above problems,deep learning methods was used to explore the intelligent algorithm of target detection for washing and sweeping operations in this paper,and a real-time and accurate application system for scanning and avoiding obstacles was built.
出处
《专用汽车》
2020年第6期86-89,共4页
Special Purpose Vehicle
关键词
洗扫车
深度学习
避障
目标检测
truck mounted sweeper
deep learning
obstacle avoidance
target detection
