activity
20232026
most citedHigh-fidelity 3D Reconstruction of Plants using Neural Radiance Field

87 citations · 95 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024

Developing Smart MAVs for Autonomous Inspection in GPS-denied Constructions

Paoqiang Pan, Kewei Hu, Xiao Huang +5

Smart Micro Aerial Vehicles (MAVs) have transformed infrastructure inspection by enabling efficient, high-resolution monitoring at various stages of construction, including hard-to…

cs.RO2024

Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning

Gengming Zhang, Hao Cao, Kewei Hu +4

Accurately identifying lychee-picking points in unstructured orchard environments and obtaining their coordinate locations is critical to the success of lychee-picking robots. Howe…

cs.CV2024★ 5 cited

Exploring Accurate 3D Phenotyping in Greenhouse through Neural Radiance Fields

Junhong Zhao, Wei Ying, Yaoqiang Pan +4

Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environm…

cs.RO2024★ 1 cited

Pheno-Robot: An Auto-Digital Modelling System for In-Situ Phenotyping in the Field

Yaoqiang Pan, Kewei Hu, Tianhao Liu +2

Accurate reconstruction of plant models for phenotyping analysis is critical for optimising sustainable agricultural practices in precision agriculture. Traditional laboratory-base…

cs.CV2024

RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale

Han Li, Yukai Ma, Yaqing Gu +3

We present a novel approach for metric dense depth estimation based on the fusion of a single-view image and a sparse, noisy Radar point cloud. The direct fusion of heterogeneous R…