We propose an active exposure control method to improve the robustness of visual
odometry in HDR (high dynamic range) environments. Our method evaluates the proper …

We present a new method to auto-adjust camera exposure for outdoor robotics. In outdoor
environments, scene dynamic range may be wider than the dynamic range of the cameras …

One of the main open challenges in visual odometry (VO) is the robustness to difficult
illumination conditions or high dynamic range (HDR) environments. The main difficulties in …

We introduce a novel method to automatically adjust camera exposure for image processing
and computer vision applications on mobile robot platforms. Because most image …

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 …

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 …

Robotic soccer is nowadays a popular research domain in the area of multi-robot systems. In
the context of RoboCup, the Middle Size League is one of the most challenging. This paper …

Visual perception is the most important method for providing information about the
competition environment for RoboCup Middle Size League (MSL) soccer robots. The paper …

This paper concerns adaptive image processing for visual teach-and-repeat navigation
systems of autonomous vehicles operating outdoors. The robustness and the accuracy of …

The success of robot localization based on visual odometry (VO) largely depends on the
quality of the acquired images. In challenging light conditions, specialized auto-exposure …