Abstract: In autonomous driving, accurate 3D lane detection using monocular cameras is important for downstream tasks. Recent CNN and Transformer approaches usually apply a two-stage model design. The ...

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...

All the latest live Newcastle travel, traffic and weather information from across the city of Newcastle-upon-Tyne and the North East. Live traffic updates about roadworks, traffic incidents on the A1, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

“I endeavoured to turn the ocean to steam by my will alone—only to find its waves dragging me down into oblivion.” Allows movement through tokens of the same or neutral disposition. Never permits a ...

School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales 2052, Australia Graduate School of Biomedical Engineering, The University of New South ...

This is the official implementation of paper DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection. Synthesizing anomaly samples has proven to be an effective strategy for self-supervised 2D ...

Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding 071002, P. R. China ...