Zobrazeno 1 - 10
of 406
pro vyhledávání: '"Zhang Yunzhou"'
Publikováno v:
中国工程科学, Vol 23, Iss 6, Pp 1-14 (2021)
The low-carbon transformation of power sector is significant for achieving the goal of carbon peak and carbon neutrality in China. Based on the evaluation of power carbon budget, three power transformation scenarios of deep low-carbon, zero carbon, a
Externí odkaz:
https://doaj.org/article/47505bba3512455796d8629d2c50e811
With the emergence of Neural Radiance Fields (NeRF), neural implicit representations have gained widespread applications across various domains, including simultaneous localization and mapping. However, current neural implicit SLAM faces a challengin
Externí odkaz:
http://arxiv.org/abs/2404.18284
Publikováno v:
IEEE Transactions on Robotics, vol. 39, no. 4, pp. 2912-2932, Aug. 2023
Object SLAM is considered increasingly significant for robot high-level perception and decision-making. Existing studies fall short in terms of data association, object representation, and semantic mapping and frequently rely on additional assumption
Externí odkaz:
http://arxiv.org/abs/2305.07299
Autor:
Shen, You, Zhang, Yunzhou, Wu, Yanmin, Wang, Zhenyu, Yang, Linghao, Coleman, Sonya, Kerr, Dermot
The progress of LiDAR-based 3D object detection has significantly enhanced developments in autonomous driving and robotics. However, due to the limitations of LiDAR sensors, object shapes suffer from deterioration in occluded and distant areas, which
Externí odkaz:
http://arxiv.org/abs/2303.02000
This paper presents a fast lidar-inertial odometry (LIO) that is robust to aggressive motion. To achieve robust tracking in aggressive motion scenes, we exploit the continuous scanning property of lidar to adaptively divide the full scan into multipl
Externí odkaz:
http://arxiv.org/abs/2302.04031
Autor:
Hu, Xinggang, Zhang, Yunzhou, Cao, Zhenzhong, Ma, Rong, Wu, Yanmin, Deng, Zhiqiang, Sun, Wenkai
The dynamic factors in the environment will lead to the decline of camera localization accuracy due to the violation of the static environment assumption of SLAM algorithm. Recently, some related works generally use the combination of semantic constr
Externí odkaz:
http://arxiv.org/abs/2202.01938
Autor:
Ai, Meng, Li, Biao, Gong, Heyang, Yu, Qingwei, Xue, Shengjie, Zhang, Yuan, Zhang, Yunzhou, Jiang, Peng
Offering incentives (e.g., coupons at Amazon, discounts at Uber and video bonuses at Tiktok) to user is a common strategy used by online platforms to increase user engagement and platform revenue. Despite its proven effectiveness, these marketing inc
Externí odkaz:
http://arxiv.org/abs/2201.12585
Publikováno v:
In Engineering Applications of Artificial Intelligence December 2024 138 Part B
Autor:
Tian, Rui, Zhang, Yunzhou, Feng, Yonghui, Yang, Linghao, Cao, Zhenzhong, Coleman, Sonya, Kerr, Dermot
Object-oriented SLAM is a popular technology in autonomous driving and robotics. In this paper, we propose a stereo visual SLAM with a robust quadric landmark representation method. The system consists of four components, including deep learning dete
Externí odkaz:
http://arxiv.org/abs/2110.08977
Publikováno v:
In Pattern Recognition Letters August 2024 184:89-96