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基于改进RRT*的无人摆渡车泊车路径规划

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为提高无人摆渡车在园区泊车的安全性和便利性,对无人摆渡车自动泊车系统的路径规划算法的研究具有重要意义.建立低速泊车状态下的车辆运动学模型和车辆碰撞检测模型,采用RRT*算法进行路径规划,并对其扩展方式、代价函数和采样方式进行改进,之后在垂直和平行泊车环境下对该路径规划算法进行仿真验证.仿真结果表明,改进后的算法规划出的路径不仅满足避障要求和运动学约束,而且路径搜索效率和路径质量更具有优越性.
Research on automatic parking path planning of unmanned ferries based on improved RRT*
To improve the safety and convenience of unmanned shuttle car parking,this paper studies the path planning algorithm of unmanned shuttle car automatic parking system.First,the vehicle kinematics model and the vehicle collision detection model are built in the low speed parking state.RRT*algorithm is employed for path planning,and its expansion mode,cost function and sampling mode are improved.Then,the path planning algorithm is simulated and verified in vertical and parallel parking environments.Our simulation results show the path planned by the improved planning algorithm not only meets the obstacle avoidance requirements and kinematic constraints,but also achieves higher path search efficiency and path quality.

automatic parkingpath planningimproved RRT*algorithmReeds-Shepp curve

王兆宏、李刚、王浩

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辽宁工业大学汽车与交通工程学院,辽宁锦州 121001

自动泊车 路径规划 改进RRT*算法 Reeds-Shepp曲线

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(19)