Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nikos Skounakis
dblp:62/3173
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 · 50% 3D vision · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › obstacle detection
dynamic obstacle detection |
0.0 | 1 | 2003 | Moving Obstacle Detection for a Skid-Steered Vehicle Endowed with a Single 2-D Laser Scanner · ICRA 2003 |
Computer vision › 3D vision › motion estimation
ego-motion estimation |
0.0 | 1 | 2003 | Moving Obstacle Detection for a Skid-Steered Vehicle Endowed with a Single 2-D Laser Scanner · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
laser scanner measurement processing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Moving Obstacle Detection for a Skid-Steered Vehicle Endowed with a Single 2-D Laser ScannerabstractWe present a methodology that simultaneously provides estimates of the self-motion of a skid-steered mobile robot and detects a moving obstacle estimating its velocity, exclusively based on laser scanner measurements. We assume an environment of linear segments and since the vehicle is skid-steered we make no use of its encoder readings. The constraints/assumptions are discussed and extensive experimental results are presented. Kostas J. Kyriakopoulos, Nikos Skounakis |
ICRA | 2 |