1 code implementation • 3 Mar 2023 • You Shen, Yunzhou Zhang, Yanmin Wu, Zhenyu Wang, Linghao Yang, Sonya Coleman, Dermot Kerr
Specifically, we design the Pillar-based Shape Completion (PSC) module to predict the probability of occupancy whether a pillar contains object shapes.
no code implementations • 18 Oct 2021 • Rui Tian, Yunzhou Zhang, Yonghui Feng, Linghao Yang, Zhenzhong Cao, Sonya Coleman, Dermot Kerr
To solve this problem, we propose a quadric initialization method based on the decoupling of the quadric parameters method, which improves the robustness to observation noise.
no code implementations • 9 May 2021 • Benjamin Wingfield, Sonya Coleman, T. M. McGinnity, Anthony J. Bjourson
Microbiota profiles measure the structure of microbial communities in a defined environment (known as microbiomes).
no code implementations • 15 Jan 2021 • Rui Tian, Yunzhou Zhang, Delong Zhu, Shiwen Liang, Sonya Coleman, Dermot Kerr
In this paper, with the assumption of a constant height of the camera above the ground, we develop a light-weight scale recovery framework leveraging an accurate and robust estimation of the ground plane.
1 code implementation • 3 Dec 2020 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Xin Chen, Sonya Coleman, Wenkai Sun, Xinggang Hu, Zhiqiang Deng
The framework is built on an object SLAM system integrated with a simultaneous multi-object pose estimation process that is optimized for robotic grasping.
no code implementations • 6 Nov 2020 • Delei Kong, Zheng Fang, Haojia Li, Kuanxu Hou, Sonya Coleman, Dermot Kerr
In this paper, we propose an end-to-end visual place recognition network for event cameras, which can achieve good place recognition performance in challenging environments.
2 code implementations • 27 Apr 2020 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Yonghui Feng, Sonya Coleman, Dermot Kerr
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.