Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Stefan Baiker

dblp:29/3197 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
localization
0.012000
High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications · ICRA 2000
Robotics › Robot navigation and mapping › localization
outdoor localization
0.012000
High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications · ICRA 2000
Robotics › Robot navigation and mapping
SLAM
0.012000
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
YearPublicationVenuePosition
2000 High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications
abstract
This 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
ICRA3