[en] Object detection and tracking is a challenging task, especially for unmanned aerial robots in complex environments where both static and dynamic objects are present. It is, however, essential for ensuring safety of the robot during navigation in such environments. In this work we present a practical online approach which is based on a 2D LIDAR. Unlike common approaches in the literature of modeling the environment as 2D or 3D occupancy grids, our approach offers a fast and robust method to represent the objects in the environment in a compact form, which is significantly more efficient in terms of both memory and computation in comparison with the former. Our approach is also capable of classifying objects into categories such as static and dynamic, and tracking dynamic objects as well as estimating their velocities with reasonable accuracy.
WANG, Min ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
VOOS, Holger ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Su, Daobilige; University of Sydney > Australian Center for Field Robotics (ACFR)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Robust Online Obstacle Detection and Tracking for Collision-free Navigation of Multirotor UAVs in Complex Environments
Date de publication/diffusion :
2018
Nom de la manifestation :
The 15th International Conference on Control, Automation, Robotics and Vision
Lieu de la manifestation :
Singapore, Singapour
Date de la manifestation :
from 18-11-2018 to 21-11-2018
Manifestation à portée :
International
Titre de l'ouvrage principal :
15th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore 18-21 November 2018
Pagination :
1228 - 1234
Peer reviewed :
Peer reviewed
Projet FnR :
FNR10484117 - Robust Emergency Sense-and-avoid Capability For Small Remotely Piloted Aerial Systems, 2015 (01/02/2016-31/01/2019) - Holger Voos
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