Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 72-79.doi: 10.11896/j.issn.1002-137X.2017.11A.014
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CHEN Jin-yin, LI Yu-wei and DU Wen-yao
[1] VALAVANIS K P.Advances in unmanned aerial vehicles[M]∥State of Art and Road to Autonomy.2007. [2] DE A,CAVES J.Human-automation collaborative RRT for UAVmission path planning[M]∥Massachusetts Institute of Technology,2010. [3] TRIHARMINTO H H,PRABUWONO A S.UAV DynamicPath Planning for Intercepting of a Moving Target:A Review[J].Communications in Computer and Information Science,2013,376:206-219. [4] HOLLAND J H.Adaptation in natural and artificial systems[M].MIT Press,1992. [5] ROBERGE V,TARBOUCHI M,LABONTE G.Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real Time UAV Path Planning[J].IEEE Transactions on Industrial Informatics,2013,9(1):132-141. [6] KAVRAKI L,SVESTKA P.Probabilistic roadmaps for pathplanning in high-dimensional configuration spaces[J].IEEE Transactions on Robotics & Automations,1996,12(4):566-580. [7] LAVALLE S M,KUFFNER J J.Randomized KinodynamicPlanning[J].IEEE International Conference on Robotics & Automation,1999,1(5):473-479. [8] MELCHIOR N A,SIMMONS R.Particle RRT for Path Planning with Uncertainty[C]∥IEEE International Conference on Robotics & Automation.2007:1617-1624. [9] LINDEMANN S R,LAVALLE S M.Incrementally reducing dis-persion by increasing voronoi bias in rrts[J].IEEE International Conference on Robotics & Automation,2004,4(4):3251-3257. [10] KARAMAN S,FRAZZOLI E.Incremental sampling-based algorithms for optimal motion planning[J].International Journal of Robotics Research,2010,30(7):2011. [11] QURESHI A H,MUMTAZ S,IQBAL K F,et al.Triangular geo-metry based optimal motion planning using RRT*-motion planner[C]∥IEEE International Workshop on Advanced Motion Control.2014:380-385. [12] KUFFNER J J,LAVALLE S M.RRT-connect:An efficient approach to single-query path planning[C]∥IEEE International Conference on Robotics and Automation.2000:995-1001. [13] JORDAN M,PEREZ A.Optimal Bidirectional Rapidly-Exploring Random Trees:MIT-CSAIL-TR-2013-021[R].2013. [14] ZHANG X,LüTTEKE F,ZIEGLER C,et al.Self-learning RRT* Algorithm for Mobile Robot Motion Planning in Complex Environments[M]∥Intelligent Autonomous Systems 13,2016:57-69. [15] BAIZID K,CHELLALI R,LUZA R,et al.RRS:Rapidly-Exploring Random Snakes a New Method for Mobile Robot Path Planning[M]∥Intelligent Autonomous Systems 13.Springer International Publishing,2014:291-305. [16] XIONG J,HU Y,WU B,et al.Minimum-cost rapid-growing randomtrees for segmented assembly path planning[J].The International Journal of Advanced Manufacturing Technology,2015,77(5):1043-1055. [17] YANG K.An efficient Spline-based RRT path planner for non-holonomic robots in cluttered environments[C]∥International Conference on Unmanned Aircraft Systems.2013:288-297. [18] ABBADI A,PRENOSIL V.Collided Path Replanning in Dyna-mic Environments Using RRT and Cell Decomposition Algorithms[M]∥Modelling and Simulation for Autonomous Systems.Springer International Publishing,2015:131-143. |
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