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Found 10 papers, 5 papers with code
Fast Image-Anomaly Mitigation for Autonomous Mobile Robots
Camera anomalies like rain or dust can severelydegrade image quality and its related tasks, such as localizationand segmentation.
SegMap: Segment-based mapping and localization using data-driven descriptors
We therefore present SegMap: a map representation solution for localization and mapping based on the extraction of segments in 3D point clouds.
VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments
Changes in appearance is one of the main sources of failure in visual localization systems in outdoor environments.
Robotics
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
In this paper we propose HF-Net, a hierarchical localization approach based on a monolithic CNN that simultaneously predicts local features and global descriptors for accurate 6-DoF localization.
Ranked #3 on
Visual Place Recognition
on Berlin Kudamm
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Many robotics applications require precise pose estimates despite operating in large and changing environments.
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization
We propose LandmarkBoost - an approach that, in contrast to the conventional 2D-3D matching methods, casts the search problem as a landmark classification task.
Dynamic Objects Segmentation for Visual Localization in Urban Environments
Yet, in highly dynamic environments, like crowded city streets, problems arise as major parts of the image can be covered by dynamic objects.
Long-term Large-scale Mapping and Localization Using maplab
This paper discusses a large-scale and long-term mapping and localization scenario using the maplab open-source framework.
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization
On the other hand, maplab provides the research community with a collection of multisession mapping tools that include map merging, visual-inertial batch optimization, and loop closure.
Robotics
Topomap: Topological Mapping and Navigation Based on Visual SLAM Maps
Then, we create a set of convex free-space clusters, which are the vertices of the topological map.
Robotics
