EDBT 2026 Demo / reviewers in the wild / expert
Stefan Baiker
dblp:29/3197
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2000
—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
localization |
0.0 | 1 | 2000 | High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications · ICRA 2000 |
Robotics › Robot navigation and mapping › localization
outdoor localization |
0.0 | 1 | 2000 | High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications · ICRA 2000 |
Robotics › Robot navigation and mapping
SLAM |
0.0 | 1 | 2000 | High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications · ICRA 2000 |
Methods — techniques the papers use, named apart from their topics
laser intensity data validation · 0.0feature extraction · 0.0dead reckoning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | High Accuracy Navigation Using Laser Range Sensors in Outdoor ApplicationsabstractThis paper presents the design of a high accuracy outdoor navigation system based on standard dead reckoning sensors and laser range and bearing information. The data validation problem is addressed using laser intensity information. Beacon design aspect and location of landmarks are also discussed in relation to desired accuracy and required area of operation. The results are important for simultaneous localization and map building applications since the feature extraction and validation are resolved at the sensor level using laser intensity. This facilitates the use of additional natural landmarks to improve the accuracy of the localization algorithm. Experimental results in outdoor environments are also presented. José E. Guivant, Eduardo M. Nebot, Stefan Baiker |
ICRA | 3 |