Object detection is crucial in diverse autonomous systems like surveillance, autonomous
driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic …

As a crucial component of the autonomous driving task, the vehicle target detection
algorithm directly impacts driving safety, particularly in inclement weather situations, where …

AVs are affected by reduced maneuverability and performance due to the degradation of
sensor performances in fog. Such degradation can cause significant object detection errors …

Blue light cystoscopy (BLC) is a guideline-recommended endoscopic tool to detect bladder
cancer with high sensitivity. Having clear, high-quality images during cystoscopy is crucial to …

Real-time video dehazing plays a key role in hel** autonomous driving detect pedestrians
or obstacles in severe foggy weather to prevent potential hazards. Existing video dehazing …

The development of global urbanization has brought about a significant amount of solid
waste. These untreated wastes may be dumped in any corner, causing serious pollution to …

Image hazing poses a significant challenge in various computer vision applications,
degrading the visual quality and reducing the perceptual clarity of captured scenes. The …

The presence of fog in the background can prevent small and distant objects from being
detected, let alone tracked. Under safety-critical conditions, multi-object tracking models …

Clear visibility of the road is crucial for autonomous vehicles, but adverse weather conditions
can significantly reduce road visibility, impacting their performance. To address this …

The autonomous vehicles (AVs) are also known as self-driving cars, which fall under the
Society of Automotive Engineers (SAE) Level 5 category; these vehicles operate …