Monocular depth estimation is scale-ambiguous, and thus requires scale supervision to
produce metric predictions. Even so, the resulting models will be geometry-specific, with …

Accurate intrinsic calibration is essential for camera-based 3D perception, yet, it typically
requires targets of well-known geometry. Here, we propose a camera self-calibration …

The realization of intelligent mining is the only method for realizing high-quality development
in the coal industry. As the forefront working link in mine production, achieving automatic …

In many camera-based applications, it is necessary to find the geometric relationship
between incoming rays and image pixels, ie, the projection model, through the geometric …

Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …

Abstract Three‐dimensional (3D) object detection, that is, localizing and classifying all
critical objects in a 3D space, is essential for downstream construction scene analysis tasks …

Autonomous vehicles and robots need to operate over a wide variety of scenarios in order to
complete tasks efficiently and safely. Multi-camera self-supervised monocular depth …

Telesurgical robotic systems provide a well-established form of assistance in the operating
theater, with evidence of growing uptake in recent years. Until now, the da Vinci surgical …

There are a multitude of emerging imaging technologies that could benefit robotics.
However the need for bespoke models, calibration and low-level processing represents a …

Differentiable volumetric rendering is a powerful paradigm for 3D reconstruction and novel
view synthesis. However, standard volume rendering approaches struggle with degenerate …