[1] 陈慧岩,熊光明,龚建伟,等. 无人驾驶汽车概论[M]. 北京:北京理工大学出版社,2014. CHEN Huiyan,XIONG Guangming,GONG Jianwei,et al. Introduction to self-driving car[M]. Beijing:Beijing Institute of Technology Press,2014. [2] DUCHON F,BABINEC A,KAJAN M,et al. Path planning with modified a star algorithm for a mobile robot[J]. Procedia Engineering,2014,96(7):59-69. [3] HOU Y B,WANG W,LU X Y. Mobile robot path planning and research in the improved artificial immune algorithm[J]. Advanced Materials Research,2012,466(467):864-869. [4] BERG J P V D,OVERMARS M H. Roadmap-based motion planning in dynamic environments[J]. IEEE Transactions on Robotics,2005,21(5):885-897. [5] DIJKSTRA E W. A note on two problems in connexi on with graphs[J]. Numerische Mathematik,1959,1(1):269-271. [6] DONALD E K. A generalization of Dijkstra's algori-thm[J]. Information Processing Letters,1977,6(2):1-5. [7] FRANK S,DOROTHEA W,KARSTEN W. Dijkstra's algorithm on-line:An empirical case study from public railroad transport[J]. Lecture Notes in Computer Science,2000,5(3):12-17. [8] NEPOMNIASCHAYA A S,DVOSKINA M A. A simple implementation of Dijkstra's shortest path algo-rithm on associative parallel processors[J]. Fundamenta Informaticae,2000,43(1):227-243. [9] POMERLEAU D A. Neural-network-based vision processing for autonomous robot guidance[J]. Procee-dings of Spie the International Society for Optical Engineering,1991,1469(17):121-128. [10] PARK J H,HUH U Y. Local path planning for mobile robot using artificial neural network:Potential field algorithm[J]. Transactions of the Korean Institute of Electrical Engineers,2015,64(10):1479-1485. [11] KASSIM A A,KUMAR B V K V. Path planners based on the wave expansion neural network[J]. Robotics & Autonomous Systems,1999,26(1):1-22. [12] ZHU Y J,WANG S G,CHANG J. A kind of path planning algorithm for mobile robot based on neural network[J]. High Technology Letters,2002,12(9):42-45. [13] WANG G,LIU X,ZHAO Y,et al. Neural network-based adaptive motion control for a mobile robot with unknown longitudinal slipping[J]. Chinese Journal of Mechanical Engineering,2019,32(1):1-9. [14] CAI Y,WANG H,CHEN X,et al. Vehicle detection based on visual saliency and deep sparse convolution hierarchical model[J]. Chinese Journal of Mechanical Engineering,2016,29(4):765-772. [15] KHATIB O. Real-time obstacle avoidance system for manipulators and mobile robots[J]. International Journal of Robotics Research,1986,5(1):90-98. [16] SHI W R,HUANG X H,ZHOU W. Path planning of mobile robot based on improved artificial potential field[J]. Journal of Computer Applications,2010,30(8):2021-2023. [17] WANG W,WANG H. Real-time obstacle avoidance trajectory planning for missile borne air vehicle based on constrained artificial potential field method[J]. Journal of Aerospace Power,2014,29(7):1738-1743. [18] PARK M G,LEE M C. A new technique to escape local minimum in artificial potential field based path plan-ning[J]. Journal of Mechanical Science,2003,17(12):1876-1885. [19] LIU J,YANG J,LIU H,et al. Robot global path planning based on ant colony optimization with artificial potential field[J]. Transactions of the Chinese Society of Agricultural Machinery,2015,46(9):18-27. [20] LI C,JIANG X,WANG W,et al. A simplified car-following model based on the artificial potential field[J]. Procedia Engineering,2016,137(7):13-20. [21] DORIGO M,MEMBER S. Ant colony system:A cooperative learning approach to the traveling salesman problem[J]. IEEE Transaction on Evolutionary Compu-tation,1996,1(1):53-66. [22] WU Y F,ZHANG X X,WU J Q. Using cellular ant colony algorithm for path-planning of robots[J]. Applied Mechanics & Materials,2012,182(183):1776-1780. [23] WANG L,HUI X. Improved ant colony-genetic algorithm for information transmission path optimization in remanufacturing service system[J]. Chinese Journal of Mechanical Engineering,2018,31(6):106-117. [24] 刘佳顺,刘检华,张之敬,等. 基于任意时间RRT算法的三维自动布线技术[J]. 机械工程学报,2016,52(13):156-165. LIU Jiashun,LIU Jianhua,ZHANG Zhijing,et al. Anytime RRT based cable automatic routing under three-dimensional environment[J]. Journal of Mechanical Eng-ineering,2016,52(13):156-165. [25] CHU H K,MILLS J K,CLEGHORN W L. Automated dual-arm micromanipulation with path planning for micro-object handling[J]. Robotics & Autonomous Systems,2015,74(5):166-174. [26] DU M,MEI T,CHEN J,et al. RRT-based motion planning algorithm for intelligent vehicle in complex environments[J]. Robot,2015,37(4):443-450. [27] MOON C B,CHUNG W. Kinodynamic planner dual-tree RRT (DT-RRT) for two-wheeled mobile robots using the rapidly exploring random tree[J]. Industrial Elec-tronics,2015,62(2):1080-1090. [28] HSIEN I L. 2D-span resampling of Bi-RRT in dynamic path planning[J]. International Journal of Automation and Smart Technology,2015,4(4):39-48. [29] HART P E,NILSSON N J,RAPHAEL B. A formal basis for the heuristic determination of minimum cost paths[J]. IEEE Transactions on Systems Science & Cybernetics,1968,4(2):100-107. [30] 王维,裴东,冯璋. 改进A*算法的移动机器人最短路径规划[J]. 计算机应用,2018,38(5):1523-1526. WANG Wei,FEI Dong,FENG Zhang. The shortest path planning for mobile robots using improved A* algorithm[J]. Journal of Computer Applications,2018,38(5):1523-1526. [31] 王小红,叶涛. 基于改进A*算法机器人路径规划研究[J]. 计算机测量与控制,2018,26(7):282-286. WANG Xiaohong,YE Tao. Research on robot path planning based on improved A* algorithm[J]. Computer Measurement & Control,2018,26(7):282-286. [32] 王淼弛. 基于A*算法的移动机器人路径规划[D]. 沈阳:沈阳工业大学,2017. WANG Miaochi. Path planing of mobile robots based on A* algorithm[D]. Shenyang:Shenyang University of Technology,2017. [33] 任玉洁,付丽霞,张勇,等. 拓展搜索邻域的平滑A*算法机器人路径规划[J]. 电子科技,2018,31(5):33-43. REN Yujie,FU Lixia,ZHANG Yong,et al. Smoothing A* algorithem extended search neighborhood for robot path planing[J]. Electronic Sci.&Tech.,2018,31(5):33-43. [34] 辛煜,梁华为,杜明博,等. 一种可搜索无限个邻域的改进A*算法[J]. 机器人,2014,36(5):627-633. XIN Yu,LIANG Huawei,DU Mingbo,et al. An improved A* algorithem for searching infinite neighbour-hoods[J]. Robot,2014,36(5):627-633. [35] 张敬寒,陶兆胜,彭澎,等. 基于扩大搜索邻域A*算法的平滑路径规划[J]. 长春理工大学学报,2018,41(6):124-127. ZHANG Jinghan,TAO Zhaosheng,PENG Peng,et al. Smooth path planning based on extended search neigh-borhood A* algorithm[J]. Journal of Changchun University of Science and Technology,2018,41(6):124-127. [36] 崔宝侠,王淼弛,段勇. 基于可搜索24邻域的A*算法路径规划[J]. 沈阳工业大学学报,2018,40(2):180-184. CUI Baoxia,WANG Miaochi,DUAN Yong. Path planning for A* algorithm based on searching 24 neighborhoods[J]. Journal of Shengyang University of Technology,2018,40(2):180-184. [37] 陈若男,文聪聪,彭玲,等. 改进A*算法及其在室内机器人路径规划中的应用[J]. 计算机应用,2019,39(4):78-83. CHEN Ruonan,WEN Congcong,PENG Ling,et al. Improve A* algorithm and apply to indoor path planning for mobile robots[J]. Journal of Computer Applications,2019,39(4):78-83. [38] 张红梅,李明龙,杨乐. 基于改进A*算法的移动机器人安全路径规划[J]. 计算机仿真,2018,35(4):324-329. ZHANG Hongmei,LI Minglong,YANG Le. Safe path planning of mobile robot based on improved A* algo-rithm[J]. Computer Simulation,2018,35(4):324-329. [39] CHENG X,QI Y. Indoor indicator path planning algorithm based on grid method[J]. Journal of Chinese Inertial Technology,2018,26(2):236-240. [40] WEI P,SUN J,MENG X. A ray path calculation method based on grid traveltime[J]. Oil Geophysical Prospecting,2018,53(4):722-729. [41] PI J,ZHANG W,ZHANG D,et al. Research on robot manipulator path planning based on Delaunay map[J]. Academic Journal of Manufacturing Engineering,2018,16(1):135-143. [42] 刘梅. 基于栅格化视觉的机器人路径优化研究[J]. 计算机与数字工程,2018,46(8):1548-1552. LIU Mei. Research on robot path optimization based on rasterized vision[J]. Computer & Digital Engineering,2018,46(8):1548-1552. [43] 高峰,郭为忠. 中国机器人的发展战略思考[J]. 机械工程学报,2016,52(7):1-5. GAO Feng,GUO Weizhong. Thinking of the develop-ment strategy of robots in China[J]. Journal of Mechanical Engineering,2016,52(7):1-5. [44] 刘晨曦. 基于改进A*算法的仿人机器人路径规划研究[D]. 北京:北京建筑大学,2018. LIU Chenxi. Research on path planning based on improved A-star algorithm of humanoid robot[D]. Beijing:Beijing University of Civil Engineering and Architecture,2018. |