[1] REN S, HE K, Girshick R, et al. Faster R-CNN: Real-time target detection in regional planning Network[J]. IEEE Pair Model Analysis and Machinery Information, 2017, 39(6): 1137-1149.
[2] GUO Y L, Sohel F, Bennamoun M, et al. A novel local surface feature for 3D object recognition under clutter and occlusion[J]. Information Sciences, 2015, 293: 196-213.
[5] Sochor J, Spa ň hel J, Herout A. Boxcars: improving fine-grained recognition of vehicles using 3-d bounding boxes in traffic surveillance[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 20(1): 97-108.
[6] Sochor J, Herout A, Havel J. BoxCars: 3D boxes as CNN input for improved fine-grained vehicle recognition[C]// IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016: 3006-3015.
[7] Dubská M, Herout A, Juránek R, et al. Fully automatic roadside camera calibration for traffic surveillance[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 16(3): 1162-1171.
[8] Dubská M, Herout A, Sochor J. Automatic camera calibration for traffic understanding[C]// Proceedings of the British Machine Vision Conference(BMVC), 2014: 1-12.
[9] GISEOK K, JAE-SOO C. Vision- Based vehicle detection and inter-vehicle distance estimation for driver alarm system[J]. Optical Review, 2012, 25(6): 388- 393.
[12] YAN Y, MAO Y, LI B. Second: sparsely embedded convolutional detection[J]. Sensors, 2018, 18(10): 3337/1-17.
