Paper Info
Title
Dynamic data temporal multisensor fusion in the Prometheus ProLab2 demonstrator
Abstract
This paper deals with a temporal multisensor fusion module named Dynamic Data Manager (DDM) developed for the “ProLab 2” demonstrator of the Prometheus European program. It is used in a car, and its goal is to maintain a representation of the dynamic environment needed to inform the driver about possible collisions and risk. The information comes from numerous different perception systems that give asynchronous data. The module is based upon extended Kalman filtering and possibility theory to estimate the current situation, to predict future states and to replace the missing data with a priori estimates based upon a model of the obstacles behaviors
Year
DOI
Venue
1994
10.1109/ROBOT.1994.351021
San Diego, CA
Keywords
Field
DocType
automotive electronics,computerised instrumentation,sensor fusion,Dynamic Data Manager,Prometheus European program,Prometheus ProLab2 demonstrator,asynchronous data,car,dynamic data temporal multisensor fusion,dynamic environment representation,extended Kalman filtering,possibility theory
Automotive electronics,Asynchronous communication,Data mining,A priori and a posteriori,Kalman filter,Control engineering,Possibility theory,Sensor fusion,Dynamic data,Missing data,Engineering
Conference
ISBN
Citations 
PageRank 
0-8186-5330-2
4
1.50
References 
Authors
1
2
Name
Order
Citations
PageRank
M. Rombaut1766.90
Dominique Meizel29516.68