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. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kazuhiro Kajihara

dblp:18/2561 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2002
—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
obstacle avoidance
0.012002
Development of a Rapid Obstacle Sensing System using Sonar Ring for Mobile Robot · ICRA 2002
Robotics › Robot navigation and mapping › mobile robot navigation › real-time navigation
high-speed navigation
0.012002
Development of a Rapid Obstacle Sensing System using Sonar Ring for Mobile Robot · ICRA 2002
Robotics › Robot navigation and mapping
mobile robot navigation
0.012002
Development of a Rapid Obstacle Sensing System using Sonar Ring for Mobile Robot · ICRA 2002

Methods — techniques the papers use, named apart from their topics

sonar-ring · 0.0pattern matching · 0.0neural network · 0.0filtering · 0.0
YearPublicationVenuePosition
2002 Development of a Rapid Obstacle Sensing System using Sonar Ring for Mobile Robot
abstract
A sensing system using sonar ring for mobile robot capable of rapid detection and avoidance of obstacles has been developed. In the system, a method of firing all ultrasonic sensors on a sonar ring simultaneously is used and to eliminate error data due to crosstalks in the simultaneous firing, a filtering method based on pattern matching using neural network is used. To show the advantage of this method, a prototype of sensing system with 24 sonar sensors is fabricated. By installing the system to mobile robot, a scanning rate up to 50 Hz of panoramic detection is achieved. The experimental results showed that a rapid navigation of mobile robot in a real environment becomes possible. This paper describes the basic concept, the method for sensing and avoidance of obstacles, configuration of the developed sensor system and experimental results of obstacle detection and avoidance.
Aiguo Ming, Kazuhiro Kajihara, Makoto Kajitani, Makoto Shimojo
ICRA2