[1] Luo X, Wang P, Li S, et al. Dynamic target detection method in motor vehicle assisted driving system[J]. Computer Engineering, 44, 311-316(2018).

[2] Wang T, Xin J, Zheng N. A method integrating human visual attention and consciousness of radar and vision for autonomous vehicle navigation[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39, 1137-1149(2015).

[3] Song W, Yang Y, Fu M. Real-time obstacles detection and status classification for collision warning in a vehicle active safety system[J]. IEEE Transactions on Intelligent Transportation Systems, 19, 758-773(2018).

[4] [4] Natnael S, Yougmin W, Jintae K. Millimeterwave radar RGBD camera sens fusion f realtime people dection tracking[C]International Conference on Robot Intelligence Technology Applications(RiTA), 2019: 9398.

[5] Li P, Peng J C, Huang P, et al. Condition monitoring for bogie frame based on two-objective sensor distribution optimization[J]. China Measurement & Test, 46, 131-147(2020).

[6] Gu G, Xu X D. Real-time vehicle detection and information recognition technology based on YOLOv3 improved algorithm[J]. Computer Engineering and Applications, 56, 173-184(2020).

[7] Liu K J, Ma R S, Tang Z M, et al. Design of infrared target recognition system with optimized convolutional network[J]. Optics and Precision Engineering, 29, 822-831(2021).

[8] Zhuang Z B, Qiu Y H, Lin J Q, et al. Turbulence warning based on convolutional neural network by lidar[J]. Infrared and Laser Engineering, 51, 20210320(2021).

[9] Yu R W, Han X, Du L Q. Target part recognition based inception-SSD algorithm[J]. Optics and Precision Engineering, 28, 1799-1809(2020).

[10] Li Y, Di J L, Ren L. Deep-learning-based prediction of living cells mitosis via quantitative phase microscopy[J]. Chinese Optics Letters, 19, 051701(2021).

[11] [11] JTGB012003. Technical stard of highway engineering[S]. Beijing: Ministry of Communications, PRC, 2003: 1213. (in Chinese)

[12] Luo X, Yao Y, Zhang J. Unified calibration method for millimeter-wave radar and camera[J]. Journal of Tsinghua University (Natural Science Edition), 54, 289-293(2014).

[13] Liu Y P, Huo X L, Liu Z C. Optical fiber network abnormal data detection algorithm based on deep learning[J]. Infrared and Laser Engineering, 50, 20210029(2021).