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Paul Crubillé

dblp:17/175 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1Theory of computation · 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%
Computer networks
1 paper
Wireless sensing and localization · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › sensor fusion
GPS-odometry fusion		 0.012001
Data Fusion of Four ABS Sensors and GPS for an Enhanced Localization of Car-like Vehicles · ICRA 2001
Robotics › Robot navigation and mapping
localization		 0.012001
Data Fusion of Four ABS Sensors and GPS for an Enhanced Localization of Car-like Vehicles · ICRA 2001
Robotics › Robot navigation and mapping › localization
multi-sensor localization		 0.012001
Data Fusion of Four ABS Sensors and GPS for an Enhanced Localization of Car-like Vehicles · ICRA 2001
Robotics › Robot navigation and mapping › localization
odometry		 0.012001
Data Fusion of Four ABS Sensors and GPS for an Enhanced Localization of Car-like Vehicles · ICRA 2001
Wireless sensing and localization
vehicle localization		 0.012001
Data Fusion of Four ABS Sensors and GPS for an Enhanced Localization of Car-like Vehicles · ICRA 2001

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

extended kalman filtering · 0.1data fusion · 0.1
YearPublicationVenuePosition
2003 Real-Time Framework for Distributed Embedded Systems
Khaled Chaaban, Paul Crubillé, Mohamed Shawky
 OPODIS2
2001 Data Fusion of Four ABS Sensors and GPS for an Enhanced Localization of Car-like Vehicles
abstract
A localization system using GPS, ABS sensors and a driving wheel encoder is described and tested through real experiments. An odometric technique using the four ABS sensors is presented. Due to the redundancy of the measurements, the precision is better than the one of differential odometry using the rear wheels only. The sampling is performed when necessary and when a GPS measurement is performed. This implies a noticeable reduction of the GPS latency, simplifying thus the data fusion process and improving the quality of its results.
Philippe Bonnifait, Pascal Bouron, Paul Crubillé, Dominique Meizel
 ICRA3
1988 A Linear Algorithm to Solve Fixed-Point Equations on Transition Systems
André Arnold, Paul Crubillé
 Inf. Process. Lett.2