Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Dongchen Zhu"'
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Panoptic segmentation plays a crucial role in enabling robots to comprehend their surroundings, providing fine-grained scene understanding information for robots' intelligent tasks. Although existing methods have made some progress, they are prone to
Externí odkaz:
https://doaj.org/article/4254205896c64117b25eeb87af1eb814
Autor:
Husheng Wang, Baixiao Chen, Dongchen Zhu, Fengsheng Huang, Xiangzhen Yu, Qingzhi Ye, Xiancheng Cheng, Shuai Peng, Jiaqiu Jing
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 11, Pp 1861-1871 (2022)
Abstract Chaff is widely used in electronic countermeasures as an effective passive jamming method. This study proposes a chaff identification method that integrates the distribution of distance, Doppler frequency, and power in Range‐Doppler imagin
Externí odkaz:
https://doaj.org/article/5db18eac65fe46f4a4476bf0857db10a
Publikováno v:
IEEE Access, Vol 7, Pp 51681-51690 (2019)
Very deep convolutional neural networks (CNNs) have recently achieved great success in stereo matching. It is still highly desirable to learn a robust feature map to improve ill-posed regions, such as weakly textured regions, reflective surfaces, and
Externí odkaz:
https://doaj.org/article/7dd87f3a3408408b8697d2018b9d7b80
Publikováno v:
IEEE Access, Vol 7, Pp 51589-51597 (2019)
This paper presents a semantic-guided interpolation scheme (SemFlow) to handle motion boundaries and occlusions in large displacement optical flow. The basic idea is to segment images into superpixels and estimate their homographies for interpolation
Externí odkaz:
https://doaj.org/article/b57eee04456a4aeab5d1404f9e028845
Publikováno v:
IEEE Access, Vol 7, Pp 77436-77447 (2019)
Motivated by recent successes on learning 3D feature representations, we present a Siamese network to generate representative 3D descriptors for 3D point matching in point cloud registration. Our system, dubbed HAF-Net, consists of feature extraction
Externí odkaz:
https://doaj.org/article/a0fbe7987b574c49a168bcd8dc1d3f91
Publikováno v:
IEEE Access, Vol 6, Pp 37715-37724 (2018)
We present a simple yet highly efficient method to eliminate spurious trails of dynamic objects for 3-D point cloud map updating. First, we extract the view overlaps based on view frustum filter. Then, we obtain spurious trails via bidirectional sear
Externí odkaz:
https://doaj.org/article/a0b9e38687844c238bb635926e7dcf3a
Publikováno v:
Sensors, Vol 18, Iss 4, p 1074 (2018)
Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation. In this paper, we propose a robu
Externí odkaz:
https://doaj.org/article/e0a174eee87245dfbbdd05163621e468
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:4683-4696
Publikováno v:
Neurocomputing. 513:247-260
Autor:
Dongchen Zhu, Anne-Claire Eiler, Satoshi Ihida, Yasuyuki Sakai, Hiroshi Toshiyoshi, Agnès Tixier-Mita, Kikuo Komori
Publikováno v:
IEEJ Transactions on Sensors and Micromachines. 142:266-272