3 papers
cs.CV2019
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
Måns Larsson, Erik Stenborg, Carl Toft +3
Long-term visual localization is the problem of estimating the camera pose of a given query image in a scene whose appearance changes over time. It is an important problem in pract…
cs.CV2019
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
Måns Larsson, Erik Stenborg, Lars Hammarstrand +3
In this paper, we present a method to utilize 2D-2D point matches between images taken during different image conditions to train a convolutional neural network for semantic segmen…
cs.CV2018
Long-term Visual Localization using Semantically Segmented Images
Erik Stenborg, Carl Toft, Lars Hammarstrand
Robust cross-seasonal localization is one of the major challenges in long-term visual navigation of autonomous vehicles. In this paper, we exploit recent advances in semantic segme…