209 citations · 212 across the 4 of their papers we have counts for
7 papers · 1 filter
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart +1
Robust and accurate visual localization is a fundamental capability for numerous applications, such as autonomous driving, mobile robotics, or augmented reality. It remains, howeve…
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Paul-Edouard Sarlin, Frédéric Debraine, Marcin Dymczyk +2
Many robotics applications require precise pose estimates despite operating in large and changing environments. This can be addressed by visual localization, using a pre-computed 3…
Map Management for Efficient Long-Term Visual Localization in Outdoor Environments
Mathias Bürki, Marcin Dymczyk, Igor Gilitschenski +3
We present a complete map management process for a visual localization system designed for multi-vehicle long- term operations in resource constrained outdoor environments. Outdoor…
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization
Marcin Dymczyk, Igor Gilitschenski, Juan Nieto +3
The growing popularity of autonomous systems creates a need for reliable and efficient metric pose retrieval algorithms. Currently used approaches tend to rely on nearest neighbor…
Dynamic Objects Segmentation for Visual Localization in Urban Environments
Guoxiang Zhou, Berta Bescos, Marcin Dymczyk +3
Visual localization and mapping is a crucial capability to address many challenges in mobile robotics. It constitutes a robust, accurate and cost-effective approach for local and g…
Long-term Large-scale Mapping and Localization Using maplab
Marcin Dymczyk, Marius Fehr, Thomas Schneider +1
This paper discusses a large-scale and long-term mapping and localization scenario using the maplab open-source framework. We present a brief overview of the specific algorithms in…