FusionGAN-Detection: Vehicle detection based on 3D-LIDAR and color camera data

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	FusionGAN-Detection: Vehicle detection based on 3D-LIDAR and color camera data
	Zhang H(张浩)1,2,3,4; Hua HY(花海洋)1,2
	2021
会议日期	October 28-31, 2021
会议地点	Shanghai, China
关键词	vehicle detection multimodal information fusion GAN 3D-LIDAR
页码	1-6
英文摘要	At present, most of the deep learning target detection methods based on multimodal information fusion are integrated, which makes the fusion image quality cannot be directly controlled. It is not conducive to strengthening the target detection of the network in principle. A multimodal information fusion detection method based on generative countermeasure network (FusionGAN-Detection) is proposed, which is composed of GAN and a target detection network. Aiming at the uncontrollability and blindness of existing information fusion detection algorithms, the new method introduces generative countermeasure network for information fusion. It uses loss function and dual discriminator to provide controllable guidance for generator. In the process of information fusion using GAN, the loss function of traditional thought can extract the information which is beneficial to target recognition to the maximum extent, and avoid the loss of channel information. The detector acts as a discriminator during the training process to guide image fusion and promote the improvement of image quality. Meanwhile, it acts as a target detector for target detection during testing. In order to verify the effectiveness of the method, KITTI data sets are used for training and testing. The experimental results show that new method is better than the existing advanced methods in AP.
源文献作者	Chinese Society for Optical Engineering
产权排序	1
会议录	Seventh Asia Pacific Conference on Optics Manufacture, APCOM 2021
会议录出版者	SPIE
会议录出版地	Bellingham, USA
语种	英语
ISSN号	0277-786X
ISBN号	978-1-5106-5208-8
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/30552]
专题	沈阳自动化研究所_光电信息技术研究室
通讯作者	Hua HY(花海洋)
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
推荐引用方式 GB/T 7714	Zhang H,Hua HY. FusionGAN-Detection: Vehicle detection based on 3D-LIDAR and color camera data[C]. 见:. Shanghai, China. October 28-31, 2021.