activity
20172020
most citedSegMap: Segment-based mapping and localization using data-driven descriptors

209 citations · 262 across the 7 of their papers we have counts for

collaborators

13 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.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.RO201941 cited

3D Multi-Robot Patrolling with a Two-Level Coordination Strategy

Luigi Freda, Mario Gianni, Fiora Pirri +4

Teams of UGVs patrolling harsh and complex 3D environments can experience interference and spatial conflicts with one another. Neglecting the occurrence of these events crucially h…

cs.RO2019

AMZ Driverless: The Full Autonomous Racing System

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart +19

This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and…

cs.RO2019

OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios

Lukas Schaupp, Mathias Bürki, Renaud Dubé +2

We introduce a novel method for oriented place recognition with 3D LiDAR scans. A Convolutional Neural Network is trained to extract compact descriptors from single 3D LiDAR scans.…

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…