Thomas Eppenberger — accepted AI-conference papers

2021

Dynamic-Aware Autonomous Exploration in Populated Environments

Valentina Cavinato, Thomas Eppenberger, Dina Youakim, Roland Siegwart, Renaud Dubé

ICRA 2021poster

Autonomous exploration allows mobile robots to navigate in initially unknown territories in order to build complete representations of the environments. In many real-life applications, environments often contain dynamic obstacles which can compromise the exploration process by temporarily blocking p…

Cited by 11 Source ↗Scholar ↗

2020

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

Thomas Eppenberger, Gianluca Cesari, Marcin Dymczyk, Roland Siegwart, Renaud Dubé

IROS 2020poster

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 tracking of dynamic objects using noisy point cloud data generated by stereo cameras. Our solution is real-time capable and…

Cited by 66 Source ↗Scholar ↗