基于A^(*)算法的定制化无人驾驶公交路径规划方法 您所在的位置:网站首页 公交线路规划算法公式 基于A^(*)算法的定制化无人驾驶公交路径规划方法

基于A^(*)算法的定制化无人驾驶公交路径规划方法

#基于A^(*)算法的定制化无人驾驶公交路径规划方法| 来源: 网络整理| 查看: 265

1. 改进的A*算法在定制公交路径规划中的应用 [J] . Computer Science and Application . 2020,第1期

机译:改进的A*算法在定制公交路径规划中的应用

2. GUIDING UNMANNED AERIAL VEHICLE PATH PLANNING DESIGN BASED ON IMPROVED ANT COLONY ALGORITHM [J] . Wenzhi Wu, Ying Wei Control and Intelligent Systems . 2021,第1期

机译:基于改进的蚁群算法指导无人驾驶飞行器路径规划设计

3. A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning [J] . Applied Soft Computing . 2020,第期

机译:一种新型加固基于灰狼优化算法,无人驾驶飞行器(无人机)路径规划

4. A Localizability Constraint-Based Path Planning Method for Unmanned Aerial Vehicle [C] . Behnam Irani, Weidong Chen, Jingchuan Wang International Conference on Intelligent Autonomous Systems . 2019

机译:无人驾驶飞行器基于定位的基于限制的基于限制的路径规划方法

5. Path planning in image space for the autonomous navigation of unmanned vehicles in unstructured outdoor environments. [D] . Otte, Michael Wilson. 2007

机译:图像空间中的路径规划,用于在非结构化室外环境中自动驾驶无人驾驶车辆。

6. Rapidly-Exploring Adaptive Sampling Tree*: A Sample-Based Path-Planning Algorithm for Unmanned Marine Vehicles Information Gathering in Variable Ocean Environments [O] . Chengke Xiong, Hexiong Zhou, Di Lu, 2020

机译:快速探索的自适应采样树*:基于样本的路径规划算法用于在变化的海洋环境中进行无人驾驶船舶信息的收集

7. Based on Immune Optimization Algorithm and Hybrid Particle Swarm Optimization Algorithm Research on Customized Bus Station Setting and Route Planning—A Case Study of Customized Public Transport in Wuhan, China [O] . Zi-jian TAN, Jing-jing ZHOU, Su-hua ZHANG, 2017

机译:基于免疫优化算法和混合粒子综合优化算法定制公交车站设置和路线规划 - 以武汉定制公共交通的案例研究

8. Evaluation of Methods to Provide Accessibility to Over-the-Road Buses and Services. [R] . Fravel, F. D., Tzamaras, I. X., Hamby, B. 1992

机译:评估提供无人驾驶公交车和服务的方法。



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