Three-dimensional structured light (SL) measurement of highly reflective surface is a
challenge faced in industrial metrology. The high dynamic range (HDR) technique provides …

Successful visual navigation depends upon capturing images that contain sufficient useful
information. In this letter, we explore a data-driven approach to account for environmental …

Adjusting camera exposure in arbitrary lighting conditions is the first step to ensure the
functionality of computer vision applications. Poorly adjusted camera exposure often leads …

Lighting conditions can affect the performance of vision-based robots in manufacturing. This
paper presents a predictive exposure control method that allows the acquisition of high …

The practical application of visual odometry (VO) is challenging under High Dynamic Range
(HDR) environments which has a significant impact on the quality of feature point tracking …

The vision-based localization of robots operating in complex environments is challenging
due to the varying dynamic illumination. This study aims to develop a novel automated …

In this paper, we propose a noise-aware exposure control algorithm for robust robot vision.
Our method aims to capture best-exposed images, which can boost the performance of …

Illumination variance is a major challenge for vision-based robotics. Most approaches focus
on alleviating illumination changes in already captured images. Despite the large utility …

Visual odometry (VO) system is challenged by complex illumination environments. Image
quality and its consistency in the time domain directly determine feature detection and …

Visual odometer is an important part of SLAM system. Visual odometer based on feature
points is the current mainstream. Featured based method completes the positioning by …