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 …

This research tackles calibrating surround view camera systems for automated driving,
where traditional methods require extensive manual measurements and precise conditions …

Surround-view system (SVS) is widely used in the advanced driver assistance system
(ADAS). SVS uses four fish-eye lenses to monitor real-time scenes around the vehicle …

Predicting the corresponding homographies from broadcast frames is an important task in
camera calibration. However, the prediction accuracy of many previous methods is …

Over the last decade, the automotive industry has introduced advanced driving assistance
systems (ADAS) and automated driving (AD) features into roads to reduce fatality rates. One …

Extrinsic sensor calibration is crucial in operating a robot and is needed for several
functionalities, such as sensor data fusion, 3D reconstruction, and SLAM. Although various …