1 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter
Jakob Sjudin, Martin Marcusson, Lennart Svensson +1
PHD filtering is a common and effective multiple object tracking (MOT) algorithm used in scenarios where the number of objects and their states are unknown. In scenarios where each…
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson +8
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like poses or 3D points, f…
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…
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…
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…