Search Results for author:
Found 4 papers, 1 papers with code
Geometric-based Line Segment Tracking for HDR Stereo Sequences
In this work, we propose a purely geometrical approach for the robust matching of line segments for challenging stereo streams with severe illumination changes or High Dynamic Range (HDR) environments.
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments
One of the main open challenges in visual odometry (VO) is the robustness to difficult illumination conditions or high dynamic range (HDR) environments.
PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments
This paper proposes PL-SLAM, a stereo visual SLAM system that combines both points and line segments to work robustly in a wider variety of scenarios, particularly in those where point features are scarce or not well-distributed in the image.
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition
In order for the network to learn the desired invariances, we train it with triplets of images selected from datasets which present a challenging variability in visual appearance.
