The Research of Multi-Layer-Based on Path Planning for Generating Optimal Path

被引:0
|
作者
Sa, Jiwon [1 ]
Lim, Kyungil [1 ]
Kim, Jungha [1 ]
机构
[1] Kookmin Univ, Kookmin Unmanned Vehicle Res Lab, Seoul 136702, South Korea
关键词
Under Layer Path Planner; Upper Layer Path Planner; Arbiter; Path Update;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this Paper, to provide the Multi-Layer Based on Path Planning System(MLPPS) for generated optimal path. Previously used path planning system, single-layer based on path planning system, local map of the path in a single situation was ensured by the optimal path. However, there is a problem that continuously local map is acquired to update the more than necessary parts of the map. These problem are due to the continuous path update, can maintain the unnecessary paths, so that it is impossible to ensure optimal path planning system. To solve this problem, we propose MLPPS. Unlike single layer path planning system, MLPPS was divided Under Layer Path Planner and Upper Layer Path Planner. Under Layer Path Planner is generated the local path. And Upper Layer Path Planner is transmitted the optimal path to autonomous vehicle. The Arbiter is present between the two layers. Arbiter through the decision-making local path of the Under Layer Path Planner is to determine whether the optimal path. In the remainder of this paper, it describes how to generate local paths by Under Layer Path Planner and optimal path determined by Arbiter.
引用
收藏
页码:896 / 899
页数:4
相关论文
共 50 条
  • [21] Multi-objective optimal robot path planning in manufacturing
    Chen, HP
    Xi, N
    Chen, YF
    IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 1167 - 1172
  • [22] Research on Path Planning Based on Bidirectional A* Algorithm
    He, Peng-Fei
    Fan, Peng-Fei
    Wu, Shi-E
    Zhang, Ying
    IEEE ACCESS, 2024, 12 : 109625 - 109633
  • [23] Research on Dynamic Path Planning of Multi-AGVs Based on Reinforcement Learning
    Bai, Yunfei
    Ding, Xuefeng
    Hu, Dasha
    Jiang, Yuming
    APPLIED SCIENCES-BASEL, 2022, 12 (16):
  • [24] Research on Multi-UUV Path Planning Method Based on Recycling Task
    Zhang, Wei
    Zhang, Kaihang
    Li, Yu
    Han, Peiyu
    2022 OCEANS HAMPTON ROADS, 2022,
  • [25] Research on Traffic Control Algorithm Based on Multi-AGV Path Planning
    Yang, Meng
    Bian, Yongming
    Ma, Lizhong
    Liu, Guangjun
    Zhang, Hao
    2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2021, : 697 - 702
  • [26] LTA*: Local tangent based A* for optimal path planning
    Muhammad Mateen Zafar
    Muhammad Latif Anjum
    Wajahat Hussain
    Autonomous Robots, 2021, 45 : 209 - 227
  • [27] Optimal Path Planning for Image Based Visual Servoing
    Allen, Mark
    Westcoat, Ethan
    Mears, Laine
    25TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH MANUFACTURING INNOVATION: CYBER PHYSICAL MANUFACTURING, 2019, 39 : 325 - 333
  • [28] Optimal Random Sampling Based Path Planning on FPGAs
    Xiao, Size
    Postula, Adam
    Bergmann, Neil
    2016 26TH INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS (FPL), 2016,
  • [29] Indoor optimal path planning based on Dijkstra Algorithm
    Xu, Yicheng
    Wen, Zhigang
    Zhang, Xiaoying
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 28 : 309 - 313
  • [30] LTA*: Local tangent based A* for optimal path planning
    Zafar, Muhammad Mateen
    Anjum, Muhammad Latif
    Hussain, Wajahat
    AUTONOMOUS ROBOTS, 2021, 45 (02) : 209 - 227