Title :
Dealing with uncertainty in perception system for the characterization of driving situation
Author :
Cherfaoui, Veronique ; Burie, Jean-Christophe ; Royére, Cyril ; Gruyer, Dominique
Author_Institution :
Univ. de Technol. de Compiegne, France
Abstract :
Situation characterization requires numerous data in order to recognize real driving situation. The quality of data is important to assume the quality of situation recognition and characterization. The aim of this work is to describe imperfections in sensor data processing and their implications in decision processing. Expected results are a granularity definition to model and propagate imperfection. In this paper we focus on uncertainty characterization deriving from the reliability and confidence in sensors and data processing
Keywords :
computer vision; data analysis; information theory; optical tracking; road traffic; traffic engineering computing; uncertainty handling; CASSICE project; Dampster Shafer theory; data reliability; decision processing; driving situation; perception system; road traffic; sensor data processing; situation characterization; uncertainty handling; vehicle tracking; Character recognition; Computer vision; Data processing; Machine vision; Object detection; Psychology; Sensor phenomena and characterization; Uncertainty; Vehicle detection; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2000. Proceedings. 2000 IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-5971-2
DOI :
10.1109/ITSC.2000.881022
