High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …

Computer vision in unconstrained outdoor scenarios must tackle challenging high dynamic
range (HDR) scenes and rapidly changing illumination conditions. Existing methods …

High dynamic range (HDR) imaging technology is increasingly being used in automated
driving systems (ADS) for improving the safety of traffic participants in scenes with strong …

Most Convolution Neural Network (CNN) based object detectors, to date, have been
optimized for accuracy and/or detection performance on datasets typically comprised of well …

This main objective of this System is to perform object detection which serves as the
foundation for controlling critical traffic data such as vehicle count, vehicle movements. This …

Intelligent driver assistance systems are becoming increasingly popular in modern
passenger vehicles. A crucial component of intelligent vehicles is the ability to detect …

Detecting objects in challenging illumination conditions is critical for autonomous driving.
Existing solutions detect objects with standard or tone-mapped Low Dynamic Range (LDR) …

Restoring high dynamic range images with a single low dynamic range image is a
challenging task due to the limited brightness range captured by most consumer camera …

As deep learning develops, the use of object detection to analyze image content has
achieved stage-by-stage success. However, due to the problems of spatial occlusion and …

The invention and usage of CNN in computer vision (CV) have made object detection an
emerging task to locate and identify objects in an image or video is facing challenge with …