no code implementations • 30 Mar 2024 • Gengming Zhang, Hao Cao, Kewei Hu, Yaoqiang Pan, Yuqin Deng, Hongjun Wang, Hanwen Kang
Accurately identifying lychee-picking points in unstructured orchard environments and obtaining their coordinate locations is critical to the success of lychee-picking robots.
no code implementations • 24 Mar 2024 • Junhong Zhao, Wei Ying, Yaoqiang Pan, Zhenfeng Yi, Chao Chen, Kewei Hu, Hanwen Kang
This study investigates a learning-based phenotyping method using the Neural Radiance Field to achieve accurate in-situ phenotyping of pepper plants in greenhouse environments.
1 code implementation • 9 Jan 2024 • Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong liu, Xingxing Zuo
To circumvent this issue, we learn to augment versatile and robust monocular depth prediction with the dense metric scale induced from sparse and noisy Radar data.
no code implementations • 7 Nov 2023 • Kewei Hu, Ying WEI, Yaoqiang Pan, Hanwen Kang, Chao Chen
Recently, a promising development has emerged in the form of Neural Radiance Field (NeRF), a novel method that utilises neural density fields.
2 code implementations • 29 Jul 2020 • Jiajun Lv, Jinhong Xu, Kewei Hu, Yong liu, Xingxing Zuo
Sensor calibration is the fundamental block for a multi-sensor fusion system.
Robotics