Zobrazeno 1 - 10
of 310
pro vyhledávání: '"Coleman, Sonya"'
Publikováno v:
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Tactile sensing has recently been used in robotics for object identification, grasping, and material recognition. Most material recognition approaches use vibration information from a tactile exploration, typically above one second long, to identify
Externí odkaz:
http://arxiv.org/abs/2311.03090
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
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 Engineering Applications of Artificial Intelligence May 2024 131
Microbiota profiles measure the structure of microbial communities in a defined environment (known as microbiomes). In the past decade, microbiome research has focused on health applications as a result of which the gut microbiome has been implicated
Externí odkaz:
http://arxiv.org/abs/2105.03903
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
Traditional visual place recognition (VPR) methods generally use frame-based cameras, which is easy to fail due to dramatic illumination changes or fast motions. In this paper, we propose an end-to-end visual place recognition network for event camer
Externí odkaz:
http://arxiv.org/abs/2011.03290
Publikováno v:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 4966-4973
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this work, we propose an ensemble data associate strategy for integrating the para
Externí odkaz:
http://arxiv.org/abs/2004.12730
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2023 126 Part B