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Moritz Oswald

dblp:196/5129 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot navigation and mapping · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › mobile robot navigation
local navigation
0.312018
Local Behavior-Based Navigation in Rough Off-Road Scenarios Based on Vehicle Kinematics · ICRA 2018
Robotics › Robot navigation and mapping › mobile robot navigation
off-road navigation
0.312018
Local Behavior-Based Navigation in Rough Off-Road Scenarios Based on Vehicle Kinematics · ICRA 2018
Robotics › Robot navigation and mapping
traversability estimation
0.112018
Local Behavior-Based Navigation in Rough Off-Road Scenarios Based on Vehicle Kinematics · ICRA 2018

Methods — techniques the papers use, named apart from their topics

elevation grid map · 0.3behavior-based control · 0.3
YearPublicationVenuePosition
2018 Local Behavior-Based Navigation in Rough Off-Road Scenarios Based on Vehicle Kinematics
abstract
This paper describes a novel behavior-based local navigation approach for rough off-road scenarios. Trajectory candidates are generated based on vehicle kinematics and dynamics as well as the desired global trajectory. In contrast to on-road local navigation approaches, the work at hand proposes the use of a shiftable elevation grid map instead of occupancy maps since traversability in rough terrains does not only depend on location, but also on the robot's orientation. The traversability is evaluated by determining tire contact points with the terrain to take various different safety and efficiency aspects like underbody collisions and rollover risk into account. By exploiting the behavior-based control paradigm, the navigation approach can be easily extended and its robustness is shown in experimental evaluations using an Unimog U5023.
Patrick Wolf, Thorsten Ropertz, Moritz Oswald, Karsten Berns
ICRA3