Obstacle Detection Method of Underground Electric Locomotive Rail Based on Instance Segmentation
Jiale Tong,
Shuang Wang,
Yongcun Guo
et al.
Abstract:Real-time and accurate obstacle detection is a vital technology for electric locomotives, especially as driverless vehicles are introduced. A method of obstacle detection for underground electric locomotive rail based on instance segmentation is developed to solve the problems of misdetection and missing detection, low detection accuracy, and slow detection speed of rail obstacles. The method of locating the track mask, demarcating the effective driving boundary, expanding the track mask, and forming the effec… Show more
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