8 accepted papers
We present a low-cost, autonomous, rotating-camera system that increases the usable data yield for 3D markerless motion capture of animals in uncontrolled outdoor settings. A lightweight detector (YOLOv4-Tiny) locates the subject at 10 Hz; an Extended Kalman Filter bridges sparse detections to a 50 …
The focus on human-robot collaboration has emerged as a pivotal area in the advancement of precision agricultural systems. This strategy exploits the distinct strengths of both humans and robots while minimising the exertion of each. A central aim within human-robot collaboration is to create roboti…
3D scene graphs have recently emerged as a powerful and human-understandable way of representing complex 3D environments. These describe environments through a layered or hierarchical graph where nodes represent different spatial concepts (from low-level geometry to higher-level scene-scale reasonin…
3D meshes offer a computationally efficient but still quite accurate path to the understanding of a robot's environment. While mesh reconstructions are often employed in indoor regions where regular planar surfaces dominate the scene, their use in urban outdoor environments has been under-explored.…
A 3D mesh offers a rich yet lightweight representation of geometry and topology for the metric and semantic understanding of a robot’s scene. Noisy features are often used to generate the mesh which furthers the need for accurate regularisation. Current approaches tightly couple front-end optimisati…
Depth map estimation techniques from cameras often struggle to accurately estimate the depth of large textureless regions. In this work we present a vision-only method that accurately extracts planar priors from a viewed scene without making any assumptions of the underlying scene layout. Through a…
We propose a novel method for fitting multiple geometric models to multi-structural data via convex relaxation. Unlike greedy methods - which maximise the number of inliers - our approach efficiently searches for a soft assignment of points to geometric models by minimising the energy of the overall…
This paper is about discovering and leveraging architectural constraints in large scale 3D reconstructions using laser. Our contribution is to offer a formulation of the problem which naturally and in a unified way, captures the variety of architectural constraints that can be discovered and applied