摘要
自动导向车(Automated Guided Vehicle,简称AGV)能够在具有一定地形特征的环境中顺利到达期望目的地或沿期望路径行驶。AGV通常通过多种类型的传感器来感测周围环境,从而实现轨迹跟踪和路障躲避。本文应用模糊逻辑对来自视觉和超声波传感器的数据进行融合以实现AGV在不确定环境下的自主导航,仿真结果证明其可行性与有效性。
Automated Guided Vehicles (AGV) can successfully reach its destination or move along a desired path in an environment characterized by a terrain. AGV usually uses different kinds of sensors to sense its environment in order to have abilities of track following and obstacle avoidance. With fusing data collected by the visual sensor and the ultrasonic sonar, Fuzzy Logic is adopted to guide the AGV under uncertain environment. Simulation results demonstrate that the algorithm is feasible and valid.
出处
《系统仿真学报》
CAS
CSCD
2004年第1期148-151,共4页
Journal of System Simulation
