Demo Data from EDBT 2026 / reviewers in the wild / expert
Moritz Oswald
dblp:196/5129
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › mobile robot navigation
local navigation |
0.3 | 1 | 2018 | 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 |
0.3 | 1 | 2018 | Local Behavior-Based Navigation in Rough Off-Road Scenarios Based on Vehicle Kinematics · ICRA 2018 |
Robotics › Robot navigation and mapping
traversability estimation |
0.1 | 1 | 2018 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Local Behavior-Based Navigation in Rough Off-Road Scenarios Based on Vehicle KinematicsabstractThis 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 |
ICRA | 3 |