UNMANNED VEHICLE OBSTACLE DETECTION AND AVOIDANCE USING DANGER ZONE APPROACH

被引:0
|
作者
Wang, Ta-Chung [1 ]
Lin, Tz-Jian [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Aeronaut & Astronaut, Tainan 701, Taiwan
关键词
obstacle avoidance; unmanned vehicle; danger zone; MOBILE ROBOTS; NAVIGATION; FIELD;
D O I
10.1139/tcsme-2013-0041
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes an obstacle avoidance algorithm for unmanned vehicles in unknown environment. The vehicle uses an ultrasonic sensor and a servo motor which rotates from 0 to 180 degrees to obtain the distance data, and the profile of the obstacle. In this avoidance algorithm we will use the danger zone concept to judge whether the obstacle will cause a possible collision. The danger zone concept surrounds the vehicle through the intersection of semi-algebraic sets. These semi-algebraic sets use the relative velocity of the obstacle to calculate the area in which obstacles will collide with the vehicle within a pre-specified time period. Combining the profile of the boundary of the obstacle with the danger zone concept, a method for determining the safe maneuvers to avoid collisions is also provided.
引用
收藏
页码:529 / 538
页数:10
相关论文
共 50 条
  • [1] Obstacle detection and avoidance with noisy measurements using danger zone concepts
    Wang, Ta-Chung
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2015, 38 (08) : 1020 - 1025
  • [2] Unmanned vehicle control and modeling for obstacle avoidance
    Kim, SG
    Kim, JH
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2003, 4 (04) : 173 - 180
  • [3] Obstacle Detection and Avoidance System for Unmanned Multirotors
    Stulgis, Adam
    Ambroziak, Leszek
    Kondratiuk, Miroslaw
    2018 23RD INTERNATIONAL CONFERENCE ON METHODS & MODELS IN AUTOMATION & ROBOTICS (MMAR), 2018, : 455 - 460
  • [4] A Research on Intelligent Obstacle Avoidance of Unmanned Vehicle Based on DDPG Algorithm
    Xu G.
    Zong X.
    Yu G.
    Su H.
    Qiche Gongcheng/Automotive Engineering, 2019, 41 (02): : 206 - 212
  • [5] Obstacle Avoidance for Ultrasonic Unmanned Aerial Vehicle monitoring using Android Application
    Itani, Miriana
    Haroun, Ali
    Fahs, Walid
    2018 19TH INTERNATIONAL ARAB CONFERENCE ON INFORMATION TECHNOLOGY (ACIT), 2018, : 236 - 239
  • [6] Local reactive obstacle avoidance approach for high-speed unmanned surface vehicle
    Tang, Pingpeng
    Zhang, Rubo
    Liu, Deli
    Huang, Lihua
    Liu, Guanqun
    Deng, Tingquan
    OCEAN ENGINEERING, 2015, 106 : 128 - 140
  • [7] Smart Obstacle Avoidance Using a Danger Index for a Dynamic Environment
    Sun, Jiubo
    Liu, Guoliang
    Tian, Guohui
    Zhang, Jianhua
    APPLIED SCIENCES-BASEL, 2019, 9 (08):
  • [8] Vehicle platoon and obstacle avoidance: a reactive agent approach
    Dafflon, Baudouin
    Gechter, Franck
    Gruer, Pablo
    Koukam, Abderrafiaa
    IET INTELLIGENT TRANSPORT SYSTEMS, 2013, 7 (03) : 257 - 264
  • [9] Block Matching Based Obstacle Avoidance for Unmanned Aerial Vehicle
    Ivanovas, Adomas
    Ostreika, Armantas
    Maskeliunas, Rytis
    Damasevicius, Robertas
    Polap, Dawid
    Wozniak, Marcin
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2018, PT I, 2018, 10841 : 58 - 69
  • [10] Obstacle avoidance control of unmanned ground vehicle based on NMPC
    Cao Lei
    Hu Chaofang
    Wang Na
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 6402 - 6406