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Klaus-Werner Jörg

dblp:81/4839 · DBLP profile ↗
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2ranked-venue papers
2as 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 · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-author

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › acoustic sensing
sonar sensing
0.011998
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
YearPublicationVenuePosition
1998 Mobile Robot Sonar Sensing with Pseudo-Random Codes
abstract
One 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
ICRA1
1996 First results in eliminating crosstalk and noise by applying pseudo-random sequences to mobile robot sonar sensing
abstract
Crosstalk 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
IROS1