Title
Soft Computing Based Pattern Classifiers for the Obstacle Avoidance Behavior of Intelligent Autonomous Vehicles (IAV)
Abstract
To ensure more iautonomy and iintelligence with ireal-time processing capabilities for the obstacle avoidance behavior of Intelligent Autonomous Vehicles (IAV), the use of isoft computing is necessary to bring this behavior near to that of humans in the recognition, learning, adaptation, generalization, reasoning and decision-making, and action. In this paper, pattern classifiers of spatial obstacle avoidance situations using Neural Networks (NN), Fuzzy Logic (FL), Genetic Algorithms (GA) and Adaptive Resonance Theory (ART) individually or in combination are suggested. These classifiers are based on supervised learning and adaptation paradigms as Gradient Back-Propagation (GBP), FL, GA and Simplified Fuzzy ArtMap (SFAM) resulting in NN/GBP and FL as Intelligent Systems (IS) and in NN/GA, NN/GA-GBP, NN-FL/GBP and NN-FL-ART/SFAM as Hybrid Intelligent Systems (HIS). Afterwards, a synthesis of the suggested pattern classifiers is presented where their results and performances are discussed as well as the Field Programmable Gate Array (FPGA) architectures, characterized by their high flexibility and compactness, for their implementation.
Year
DOI
Venue
2002
10.1023/A:1014394117908
Appl. Intell.
Keywords
Field
DocType
intelligent autonomous vehicles (IAV),spatial obstacle avoidance situations,pattern classifiers,supervised learning and adaptation paradigms,neural networks (NN),fuzzy logic (FL),genetic algorithms (GA),adaptive resonance theory (ART),field programmable gate array (FPGA) architectures
Obstacle avoidance,Adaptive resonance theory,Intelligent decision support system,Computer science,Fuzzy logic,Supervised learning,Artificial intelligence,Soft computing,Artificial neural network,Machine learning,Genetic algorithm
Journal
Volume
Issue
ISSN
16
3
1573-7497
Citations 
PageRank 
References 
11
0.73
26
Authors
2
Name
Order
Citations
PageRank
Ouahiba Azouaoui1367.12
Amine Chohra2357.46