[1]臧宇,许广鹏,关和宁,等.国内现代有轨电车车辆发展状况综述[J].现代城市轨道交通,2016(2):1-6.
Zang Yu, Xu Guangpeng, Guan Hening, et al. Introduction of Development of Modern Tram in China[J]. Modern Urban Transit, 2016(2): 1-6.
[2]郭磊,李克强,王建强,等.一种基于特征的车辆检测方法[J].汽车工程,2006,28(11):1031-1035.
Guo Lei, Li Keqiang, Wang Jianqiang, et al. A Feature-Based Vehicle Detection Method[J].Automotive Engineering, 2006, 28(11): 1031-1035.
[3] Jazayeri A, Cai Hongyuan, Zheng Jiang yu, et al. Vehicle Detection and Tracking in Car Video Based on Motion Model[J].IEEE Transactions on Intelligent Transportation Systems, 2011, 12(2): 583-595.
[4] Tehrani Niknejad H, Takeuchi A, Mita S, et al. On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter with Improved Likelihood Estimation[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(2): 748-758.
[5]王斌.基于深度学习的行人检测[D].北京:北京交通大学,2015.
[6]刘芷含.基于深度学习的行人目标检测方法[D].南京:南京理工大学,2018.
[7]胡超超,刘军,张凯,等.基于深度学习的行人和骑行者目标检测及跟踪算法研究[J].汽车技术,2019(7):19-23.
Hu Chaochao, Liu Jun, Zhang Kai, et al. Research on Target Detection and Tracking of Pedestrian and Cyclist Based on Deep Learning[J]. Automobile Technology, 2019(7): 19-23.
[8]黄皓宇.基于Mask R-CNN的街景车辆目标的检测方法研究与应用[D].武汉:华中师范大学,2019.
[9]刘敦强.基于Faster RCNN的道路车辆检测算法研究[D].南京:南京航空航天大学,2018.
[10]王宇宁,庞智恒,袁德明.基于YOLO算法的车辆实时检测[J].武汉理工大学学报,2016,38(10):41-46.
Wang Yuning, Pang Zhiheng, Yuan Deming.Vehicle Detection Based on YOLO in Real Time[J]. Journal of Wuhan University of Technology, 2016, 38(10): 41-46.
[11]卞山峰,张庆辉.基于改进YOLO v2的车辆实时检测算法[J].电子质量,2019(10):19-22.
Bian Shanfeng, Zhang Qinghui. Real-Time Vehicle Detection Algorithm Based on Improved YOLO v2[J]. Electronics Quality, 2019(10): 19-22.
[12]祝庆发,陈永生,郭玉臣.基于改进YOLO算法的密集人群场景下的行人检测[J].电脑知识与技术,2019,15(22):175-176.
[13]王玺坤,姜宏旭,林珂玉.基于改进型YOLO算法的遥感图像舰船检测[J].北京航空航天大学学报,2020,46(6):1184-1191.
Wang Xikun, Jiang Hongxu, Lin Keyu. Remote Sensing Image Ship Detection Based on Modified YOLO Algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(6): 1184-1191.
[14]鞠默然,罗海波,王仲博,等.改进的YOLO V3算法及其在小目标检测中的应用[J].光学学报,2019,39(7):253-260.
Ju Moran, Luo Haibo, Wang Zhongbo, et al. Improved YOLO V3 Algorithm and Its Application in Small Target Detection[J]. Acta Optica Sinica, 2019, 39(7): 253-260.
[15]王钏文,王磊,黄仁欢,等.基于YOLO v3算法的中低速列车在途障碍物检测方法[J].铁路通信信号工程技术,2021,18(7):86-89.
Wang Chuanwen, Wang Lei, Huang Renhuan,et al. Detection Method of Obstacles of Medium-Low Speed Train in Transit Based on YOLO v3 Algorithm[J].Railway Signalling & Communication Engineering, 2021, 18(7):86-89.
[16] Redmon J, Divvala S, Girshick R, et al. You Only Look Once: Unified, Real-Time Object Detection[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 27-30, 2016, Las Vegas, NV, USA.IEEE, 2016: 779-788.
[17] Rezatofighi H, Tsoi N, Gwak J, et al. Generalized Intersection over Union: a Metric and a Loss for Bounding Box Regression[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 15-20, 2019, Long Beach, CA, USA. IEEE, 2019: 658-666.
[18] Abadi M, Agarwal A, Barham P, et al. TensorFlow:Large-Scale Machine Learning on Heterogeneous Distributed Systems[EB/OL].(2016-03-16)[2020-08-27]. http://arxiv.org/abs/1603.04467.
|