Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...
In collaborative perception systems, multiple unmanned ground vehicles (UGVs) equipped with cameras work together to enhance sensing capabilities and perception accuracy. However, dynamic environments ...
A rigorous benchmark comparing Time Series Foundation Models against statistical baselines for electricity demand forecasting on ERCOT data. This project provides a comprehensive evaluation framework ...
Abstract: Event camera calibration plays an irreplaceable role in event camera-based visual applications. Event cameras report per-pixel brightness changes as a stream of asynchronous events, making ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results