title: Bionic Vision-Based Intelligent Power Line Inspection System.
abstract: Detecting the threats of the external obstacles to the power lines can ensure the stability of the power system. Inspired by the attention mechanism and binocular vision of human visual system, an intelligent power line inspection system is presented in this paper. Human visual attention mechanism in this intelligent inspection system is used to detect and track power lines in image sequences according to the shape information of power lines, and the binocular visual model is used to calculate the 3D coordinate information of obstacles and power lines. In order to improve the real time and accuracy of the system, we propose a new matching strategy based on the traditional SURF algorithm. The experimental results show that the system is able to accurately locate the position of the obstacles around power lines automatically, and the designed power line inspection system is effective in complex backgrounds, and there are no missing detection instances under different conditions.
authors.affiliation: Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou 213022, China.
authors.forename: Qingwu
authors.identifier: 0000-0003-3224-9831
authors.initials: Q
authors.lastname: Li
authors.affiliation: Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou 213022, China.
authors.forename: Yunpeng
authors.initials: Y
authors.lastname: Ma
authors.affiliation: Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou 213022, China.
authors.forename: Feijia
authors.initials: F
authors.lastname: He
authors.affiliation: Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou 213022, China.
authors.forename: Shuya
authors.identifier: 0000-0001-6030-4880
authors.initials: S
authors.lastname: Xi
authors.affiliation: Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou 213022, China.
authors.forename: Jinxin
authors.initials: J
authors.lastname: Xu
mesh_terms: D000465:Algorithms; D001331:Automation; D001701:Bionics; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015203:Reproducibility of Results; D012371:Robotics; D014186:Transportation; D015348:Vision, Binocular / Q000502:physiology*; D014785:Vision, Ocular