How South Korea is using AI, algorithms and automated surveillance to detect crypto market manipulation faster and at a ...
A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous ...
Abstract: Lane detection technology plays a critical role in autonomous driving, assisting vehicles in positioning and motion planning. Most existing lane detection technologies generally involve ...
Abstract: Reliable lane-following is essential for automated and assisted driving, yet existing solutions often rely on models that require extensive computational resources, limiting their deployment ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts that have puzzled scholars for centuries, detected cancers missed by human ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
LaneNet is a deep learning-based label assignment module integrated into the state-of-the-art Cross Layer Refinement Network (CLRNet) for lane detection. Unlike classical cost functions used for label ...
This repo is the official PyTorch implementation for paper: Freq-3DLane: 3D Lane Detection From Monocular Images via Frequency-Aware Feature Fusion. In this paper, we present Freq-3DLane, a simple yet ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results