IDRES: A rule-based system for driving situation recognition with uncertainty management

Information Fusion

Volumn 4, Issue 4, 2003, Pages 309-317

  Nigro, Jean Marc ^a   Rombaut, Michèle ^b  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

Author keywords

Dempster Shafer's theory; Rule based system; Temporal sequence recognition

Indexed keywords

EXPERT SYSTEMS; INTELLIGENT CONTROL;

TEMPORAL SEQUENCE RECOGNITION;

LOGIC PROGRAMMING;

EID: 0242302741     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1566-2535(03)00042-3     Document Type: Article

References (12)

1. Y. Furukawa, Status and future direction of intelligent drive assist technology, in: IEEE Intelligent Transportation System, Dearborn (MI), USA, 2000, pp. 113-118.
2. F. Saad, T. Villame, Assisting new driving support systems: contribution of an analysis of driver's activity in real situations, in: ITS96, 1996.
3. http://cac.media.mit.edu:8080/contextweb/jsp/index.htm.
4. M. Rombaut, F. Saad, Cassice: Symbolic characterisation of driving situation, in: Third Annual IEEE Conference on Intelligent Transportation Systems, Dearborn, MI, USA, 2000.
5. C. Dousson, P. Gaborit, M. Ghallab, Situation recognition: Representation and algorithms, in: 13th IJCAI, 1993.
6. Kupiec J. Robust part-of-speech tagging using a hidden Markov model. Computer Speech and Language. 6:1992;225-242.
7. M. de Saint Blancard, B. Dubuisson, M. Rombaut, Pro-lab2: A vehicle with driving assistance, in: First World Congress on Applications of Transport Telematics and Intelligent Vehicle-Highway Systems, Paris, France, 1994.
8. N.L. Fort, V. Cherfaoui, M. Rombaut, Design of driving assistance systems, in: IROS'97, Workshop on Intelligent Cars and Automated Highway Systems, Grenoble-France, 1997, pp. 3-14.
9. M. Shawky, P. Crubille, P. Bonnifait, Archiving and indexing of large volume sensor data of an equipped vehicle, in: DriiVE - Driving research in instrumented vehicles workshop, Helsinki, Finland, 1999.
10. Shafer G. A Mathematical Theory of Evidence. Vol. 2702:1976;Princeton University Press.
11. Silverman B.W. Density estimation for statistics and data analysis. Hall C. Monographs on Statistics and Applied Pprobability. Vol. 26:1988;Springer-Verlag.
12. L. Choivy, Applying theory of evidence in multisensor data fusion: a logical interpretation, in: FUSION 2000, Vol. 1, Paris, France, 2000, pp. TuB4.17-TuB4.24, ISBN: 2-7257-0001-9.