参考文献

[1] 贺桂芳.汽车与工程机械用传感器[M].北京：人民交通出版社，2002.

[2] 康拉德.莱夫.BOSCH汽车电气与电子[M].孙泽昌，等译.2版.北京：北京理工大学出版社，2014.

[3] 冈萨雷斯，伍兹.数字图像处理[M].阮秋琦，阮宇智，等译.3版.北京：电子工业出版社，2017.

[4] 米本和也.CCD/CMOS图像传感器基础与应用[M].陈榕庭，彭美柱，译.北京：科学出版社，2006.

[5] FERNANDES L A F, OLIVEIRA M M. Real-time Line Detection Through an Improved Hough Transform Voting Scheme [J]. Pattern Recognition, 2008, 41 (1): 299-314.

[6] YOO H, YANG U, SOHN K. Gradient-Enhancing Conversion for Illumination-Robust Lane Detection [J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14 (3): 1083-1094.

[7] BROGGI A, CATTANI S. An Agent Based Evolutionary Approach to Path Detection for Off-road Vehicle Guidance [J]. Pattern Recognition Letters, 2006, 27 (11): 1164-1173.

[8] AHMED K, MUNIR M S, SHIHAVUDDIN A S M, et al. Towards Autonomous Robot Operation: Path Map Generation of an Unknown Area by a New Trapezoidal Approximation Method Using a Self Guided Vehicle and Shortest Path Calculation by a Proposed SRS Algorithm [C] //Pacific Rim International Conference on Artificial Intelligence. Heidelberg: Springer, 2008: 593-602.

[9] XIA S, ZHANG J, LU K, et al. Road Detection via Unsupervised Feature Learning [C] //International Conference on Image and Vision Computing New Zealand. IEEE, 2016: 1-6.

[10] JIA B, CHEN J, ZHANG K. Recursive Drivable Road Detection with Shadows Based on Two camera Systems [J]. Machine Vision & Applications, 2017, 28 (5-6): 509-523.

[11] VEGA-RODRIGUEZ M A. Review: Feature Extraction and Image Processing [J]. The Computer Journal, 2004, 47 (2): 271-272.

[12] 李航.统计学习方法[M].北京：清华大学出版社，2012.

[13] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich Feature Hierarchies for Object Detection and Semantic Segmentation [C] //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014.

[14] GIRSHICK R. Fast R-CNN [J]. Computer Science，2015：1440-1448.

[15] REN S, HE K, GIRSHICK R, et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 39 (6): 1137-1149.

[16] REDMON J, DIVVALA S, GIRSHICK R, et al. You only Look Once: Unified, Real-time Object Detection [C] //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.

[17] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single Shot MultiBox Detector [C] //European Conference on Computer Vision. Springer, Cham, 2016: 21-37.

[18] CHEN L C, PAPANDREOU G, KOKKINOS I, et al. Deeplab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs[J]. IEEE Tansactions on Pattern Analysis and Machine Intelligence, 2016, 40 (4): 834-848.

[19] HOCHREITER S, SCHMIDHUBER J. Long Short-term Memory [J]. Neural Computation, 1997, 9 (8): 1735-1780.

[20] LI B, YAN J, WU W, et al. High Performance Visual Tracking with Siamese Region Proposal Network [C] //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 8971-8980.

[21] LI B, WU W, WANG Q, et al. SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks [C] //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019: 4282-4291.

[22] WANG Q, ZHANG L, BERTINETTOL, et al. Fast Online Object Tracking and Segmentation: A Unifying Approach [C] //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019: 1328-1338.

[23] SKOLNIK M.雷达系统导论[M].左群声，徐国良，马林，等译.3版.北京：电子工业出版社，2007.

[24] 吴顺君，梅晓春，等.雷达信号处理和数据处理技术[M].北京：电子工业出版社，2008.

[25] 何友，关键，孟祥伟，等.雷达目标检测与恒虚警处理[M].2版.北京：清华大学出版社，2011.

[26] 吴礼.近程毫米波LFMCW雷达多目标信号分析与处理方法研究[D].南京：南京理工大学，2008.

[27] 高增敏，王首勇，郑作虎，等.一种适用于机动目标跟踪的改进卡尔曼滤波算法[J].空军预警学院学报.2011，25（5）：339-342.

[28] 戴永江.激光雷达原理[M].北京：国防工业出版社，2002.

[29] 陈晓清，马君国，赵宏钟，等.激光成像雷达自动目标识别技术综述[J].现代防御技术，2009，37（06）：114-117，140.

[30] SPALANZANI A, RIOSMARTINEZ J, LAUGIER C, et al. Handbook of Intelligent Vehicles [M]. London: Springer London, 2012.

[31] 黄丽萍，和军平，倪龙，等.汽车可视倒车雷达预警系统的设计与实现[J].计算机测量与控制，2010，18（1）：150-152.

[32] 崔晓川，邹博维，孙明，等.倒车雷达探测范围测量方法及准确度分析[J].中国测试，2016，42（5）：42-45.

[33] 黄文，邵丽青.自动泊车系统的智能化发展[J].汽车与配件，2012（32）：32-34.

[34] 何友，王国宏，陆大淦，等.多传感器信息融合及应用[M].北京：电子工业出版社，2007.

[35] 梁百川.多传感器信息融合决策研究[J].航天电子对抗，1994（3）：9-18.

[36] 张明路，戈新良，唐智强，等.多传感器信息融合技术研究现状和发展趋势[J].河北工业大学学报，2003，32（2）：30-35.

[37] 游林儒，张晋格，王炎.一种多源信息融合方法及其应用[J].哈尔滨工业大学学报，2000，32（4）：101.

[38] 王力.基于DS证据理论的多传感器数据融合算法研究与应用[D].太原：太原理工大学，2015.

[39] 彭力.信息融合关键技术及其应用[M].北京：冶金工业出版社，2010.

[40] 倪明，单渊达.证据理论及其应用[J].电力系统自动化.1996，20（3）：76-80. RzeXJ1hyAciHKvBfPZg+FoPlzzz5TQ4lE5XzXcXzA8IYsy7206ixanJWJFWxiJm7