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Found 5 papers, 2 papers with code
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning
Accurately identifying lychee-picking points in unstructured orchard environments and obtaining their coordinate locations is critical to the success of lychee-picking robots.
Exploring Accurate 3D Phenotyping in Greenhouse through Neural Radiance Fields
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.
RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale
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.
High-fidelity 3D Reconstruction of Plants using Neural Radiance Field
Recently, a promising development has emerged in the form of Neural Radiance Field (NeRF), a novel method that utilises neural density fields.
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Sensor calibration is the fundamental block for a multi-sensor fusion system.
Robotics
