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	FusionGAN-Detection: Vehicle detection based on 3D-LIDAR and color camera data 会议论文 OAI收割 Shanghai, China, October 28-31, 2021 作者: Zhang H(张浩); Hua HY(花海洋) \| 收藏 \| 浏览/下载：68/0 \| 提交时间：2022/03/15 vehicle detection multimodal information fusion GAN 3D-LIDAR
	Vehicle Key Information Detection Algorithm Based on Improved SSD 期刊论文 OAI收割 IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2020, 卷号: E103A, 期号: 5, 页码: 769-779 作者: Wang ED(王恩德); Li Y(李勇); Wang YB(王岳斌); Wang P(王鹏); Jiao JL(焦金磊); \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/05/24 vehicle information detection deep learning convolutional neural network target detection
	Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T. 收藏 \| 浏览/下载：66/0 \| 提交时间：2013/03/25 In the transportation monitor system we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately the arithmetic proposed in the paper can suppress shadow availably we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE. and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering