Images captured under low-light conditions are typically prone to undesirable visual
phenomena, particularly color distortion and additive noise, that impede the aesthetics and …

Lane detection, which relies on front-view RGB cameras, is a crucial aspect of Advanced
Driver Assistance Systems (ADAS), but its effectiveness is notably reduced in low-light …

When applying deep learning and image processing techniques for bridge crack detection,
the obtained images in real-world scenarios have severe image degradation problem. This …

Low-visibility maritime image enhancement is essential for maritime surveillance in extreme
weathers. However, traditional methods merely optimize contrast while ignoring image …

Mobile Crowd Sensing is a prevalent and efficient paradigm for multi-source data collection,
where Multi-source Data Fusion (MDF) plays a crucial role in constructing quality data …

Real-world low-light images captured by imaging devices suffer from poor visibility and
require a domain-specific enhancement to produce artifact-free outputs that reveal details …

Vision-guided coal mine robots often encounter challenges in low-light environments,
capturing images marked by poor visibility and significant loss of detail, which complicates …

This paper presents a novel approach to constructing high-definition (HD) maps through a
dual methodology of consistent temporal map**. As autonomous vehicles increasingly …