Soft computing based pattern classifiers for the obstacle avoidance behavior of Intelligent Autonomous Vehicles (IAV)

Applied Intelligence

Volumn 16, Issue 3, 2002, Pages 249-272

  Azouaoui, Ouahiba ^a   Chohra, Amine ^b  

^a CENTRE DE DÉVELOPPEMENT DES TECHNOLOGIES AVANCÉES   (Algeria)

^b FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

Author keywords

Adaptive resonance theory (ART); Field programmable gate array (FPGA) architectures; Fuzzy logic (FL); Genetic algorithms (GA); Intelligent autonomous vehicles (IAV); Neural networks (NN); Pattern classifiers; Spatial obstacle avoidance situations; Supervised learning and adaptation paradigms

Indexed keywords

BACKPROPAGATION; COLLISION AVOIDANCE; DECISION MAKING; FIELD PROGRAMMABLE GATE ARRAYS; FUZZY SETS; GENETIC ALGORITHMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS;

INTELLIGENT AUTONOMOUS VEHICLES (IAV);

PATTERN RECOGNITION;

EID: 0036567704     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1014394117908     Document Type: Article

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