Search Results for author:
Found 3 papers, 1 papers with code
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment
To improve the PointGoal navigation accuracy without GPS signal, we use visual odometry (VO) and propose a novel action integration module (AIM) trained in unsupervised manner.
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment
The experiments show that the proposed system not only achieves comparable performance with other state-of-the-art self-supervised learning-based methods on the KITTI dataset, but also significantly improves the generalization capability compared with geometry-based, learning-based and hybrid VO systems on the noisy KITTI and the challenging outdoor (KAIST) scenes.
Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
Furthermore, a new metric is devised to evaluate the geometric consistency in the translation process.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
