Abstract
In view of the current production environment in the mining area during the transportation of the minecart, the minecart driver's obstruction of vision and dim light during the driving process, which is easy to cause the minecart to collide and rear-end the collision. Various accidents such as injuries occur. Therefore, in order to improve the safety of mining area operation, it is necessary to apply the target detection technology of the rail travel area to the train to further realize unmanned driving. Millimeter wave radar has a series of advantages such as small size, light weight, narrow beam, high spatial resolution, strong anti-interference ability, etc., which can be applied in bad weather and harsh mining area production environment, and can achieve uninterrupted 24-hour work
Publisher
Darcy & Roy Press Co. Ltd.
Reference9 articles.
1. Redmon J, Farhadi A. Yolo9000: Better, Faster, Stronger [C]//Proceedings of the Proceedings of the IEEE conference on computer vision and pattern recognition, 2017: 7263-7271.
2. Redmon J, Farhadi A J a P A. Yolov3: An Incremental Improvement [J]. arXiv preprint ar Xiv, 1804.02767, 2018.
3. Liu W, Anguelov D, Erhan D, et al. Ssd:Single Shot Multibox Detector [C]//Proceedings of the European conference on computer vision, Springer, 2016: 21-37
4. Hochreiter S,Schmidhuber J.Long Short-Term Memory[J].Neural Computation, 1997,9(8):1735-1780.
5. Altché, Florent,Arnaud D L F.An LSTM Network for Highway Trajectory Prediction[J]. 2018