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Found 5 papers, 3 papers with code
Learning Matchable Image Transformations for Long-term Metric Visual Localization
Long-term metric self-localization is an essential capability of autonomous mobile robots, but remains challenging for vision-based systems due to appearance changes caused by lighting, weather, or seasonal variations.
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change
Direct visual localization has recently enjoyed a resurgence in popularity with the increasing availability of cheap mobile computing power.
PROBE: Predictive Robust Estimation for Visual-Inertial Navigation
Navigation in unknown, chaotic environments continues to present a significant challenge for the robotics community.
Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural Network
We present a method to incorporate global orientation information from the sun into a visual odometry pipeline using only the existing image stream, where the sun is typically not visible.
Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation
In the absence of reliable and accurate GPS, visual odometry (VO) has emerged as an effective means of estimating the egomotion of robotic vehicles.
