Demo Data from SIGIR 2026 / reviewers in the wild / expert
Markus Berg 0002
dblp:87/8004
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › acoustic sensing
sonar sensing |
0.0 | 1 | 1998 | Mobile Robot Sonar Sensing with Pseudo-Random Codes · ICRA 1998 |
Methods — techniques the papers use, named apart from their topics
pseudo-random codes · 0.0matched filter · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Mobile Robot Sonar Sensing with Pseudo-Random CodesabstractOne of the most severe problems in conventional mobile robot sonar sensing is from the literature known as crosstalk. This article addresses the crosstalk problem and presents first experimental results of a new approach which allows the simultaneous firing of sonar sensors. At the same time frequent misreadings caused by crosstalk or external ultrasound sources are eliminated. Moreover, the range resolution as well as the lateral resolution of a sonar sensor are significantly increased. This is achieved by carefully designing the emitted burst, i.e. by using appropriate pseudo-random sequences together with a matched filter technique. Klaus-Werner Jörg, Markus Berg 0002 |
ICRA | 2 |
| 1996 | First results in eliminating crosstalk and noise by applying pseudo-random sequences to mobile robot sonar sensingabstractCrosstalk is one of the most severe problems in conventional mobile robot sonar sensing. This paper addresses the crosstalk-problem and presents first and promising results of a new approach which enables a mobile robot to fire its sonar sensors simultaneously while totally eliminating misreadings caused by crosstalk or external ultrasound sources. This is achieved by carefully designing the emitted burst, i.e. by using appropriate pseudo-random sequences together with a matched filter technique. Experimental results are presented. Klaus-Werner Jörg, Markus Berg 0002 |
IROS | 2 |