activity
20182020
most citedSegMap: Segment-based mapping and localization using data-driven descriptors

209 citations · 212 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO20201 cited

Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking

Thomas Eppenberger, Gianluca Cesari, Marcin Dymczyk +2

Dynamic obstacle avoidance is one crucial component for compliant navigation in crowded environments. In this paper we present a system for accurate and reliable detection and trac…

cs.RO2020

OneShot Global Localization: Instant LiDAR-Visual Pose Estimation

Sebastian Ratz, Marcin Dymczyk, Roland Siegwart +1

Globally localizing in a given map is a crucial ability for robots to perform a wide range of autonomous navigation tasks. This paper presents OneShot - a global localization algor…

cs.RO2019209 cited

SegMap: Segment-based mapping and localization using data-driven descriptors

Renaud Dubé, Andrei Cramariuc, Daniel Dugas +5

Precisely estimating a robot's pose in a prior, global map is a fundamental capability for mobile robotics, e.g. autonomous driving or exploration in disaster zones. This task, how…

cs.RO20192 cited

VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments

Mathias Bürki, Lukas Schaupp, Marcin Dymczyk +4

Changes in appearance is one of the main sources of failure in visual localization systems in outdoor environments. To address this challenge, we present VIZARD, a visual localizat…

cs.CV2018

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…