Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Zhu, Delong"'
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:
Chen, Lin, Guo, Pu, Li, Zhuanzhuan, Hu, Xiaoyi, Wang, Dewang, Yu, Lingxue, Zhu, Delong, Tang, Huanwen, Luo, Hao
Publikováno v:
In Ecotoxicology and Environmental Safety 15 October 2024 285
Autor:
Chen, Lin, Guo, Pu, Zhai, Lu, Yu, Lingxue, Zhu, Delong, Hu, Xiaoyi, Li, Zhuanzhuan, Chen, Yuting, Sun, Qian, Sun, Lei, Luo, Hao, Tang, Huanwen
Publikováno v:
In Toxicology in Vitro October 2024 100
With the rapid development of machine learning, autonomous driving has become a hot issue, making urgent demands for more intelligent perception and planning systems. Self-driving cars can avoid traffic crashes with precisely predicted future traject
Externí odkaz:
http://arxiv.org/abs/2110.10436
This paper presents a fundamental algorithm, called VDB-EDT, for Euclidean distance transform (EDT) based on the VDB data structure. The algorithm executes on grid maps and generates the corresponding distance field for recording distance information
Externí odkaz:
http://arxiv.org/abs/2105.04419
Autor:
Kong, Xiangkai, Zhu, Delong, Hu, Ying, Liu, Chang, Zhang, Yi, Wu, Yu, Tan, Jiameng, Luo, Yuansen, Chen, Jianwei, Xu, Tao, Zhu, Lei
Publikováno v:
In Materials & Design February 2024 238
Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention, since they can substitute human workers to conduct the service work. However, current robots either depend on
Externí odkaz:
http://arxiv.org/abs/2103.09030
Scale ambiguity is a fundamental problem in monocular visual odometry. Typical solutions include loop closure detection and environment information mining. For applications like self-driving cars, loop closure is not always available, hence mining pr
Externí odkaz:
http://arxiv.org/abs/2101.05995
Autor:
Wu, Yanmin, Zhang, Yunzhou, Zhu, Delong, Chen, Xin, Coleman, Sonya, Sun, Wenkai, Hu, Xinggang, Deng, Zhiqiang
Publikováno v:
2021 International Conference on 3D Vision (3DV), 2021, pp. 1372-1381
This paper presents the first active object mapping framework for complex robotic manipulation and autonomous perception tasks. The framework is built on an object SLAM system integrated with a simultaneous multi-object pose estimation process that i
Externí odkaz:
http://arxiv.org/abs/2012.01788
This paper presents a search-based partial motion planner to generate dynamically feasible trajectories for car-like robots in highly dynamic environments. The planner searches for smooth, safe, and near-time-optimal trajectories by exploring a state
Externí odkaz:
http://arxiv.org/abs/2011.03664