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20182021
most citedSegMap: Segment-based mapping and localization using data-driven descriptors

209 citations · 212 across the 4 of their papers we have counts for

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8 papers · 1 filter

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.RO2018

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…

cs.RO2018

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…