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Artificial Intelligence and Smart Vehicles

First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers
BuchKartoniert, Paperback
217 Seiten
Englisch
Springererschienen am05.10.20231st ed. 2023
This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023, held in Tehran, Iran, during May 24-25, 2023.The 14 full papers included in this book were carefully reviewed and selected from 93 submissions.mehr

Produkt

KlappentextThis book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023, held in Tehran, Iran, during May 24-25, 2023.The 14 full papers included in this book were carefully reviewed and selected from 93 submissions.
Details
ISBN/GTIN978-3-031-43762-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum05.10.2023
Auflage1st ed. 2023
ReiheCommunications in Computer and Information Science
Seiten217 Seiten
SpracheEnglisch
IllustrationenXIV, 217 p. 118 illus., 108 illus. in color.
Artikel-Nr.54453675

Inhalt/Kritik

Inhaltsverzeichnis
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction.- Routes analysis and dependency detection based on traffic volume: a deep learning approach.- Road Sign Classification using Transfer Learning and Pre-Trained CNN Models.- Improving Safe Driving with Diabetic Retinopathy Detection.- A Bibliometric Analysis on Artificial Intelligence and Smart Vehicles.- Convolutional Neural Network and Long Short Term Memory on Inertial Measurement Unit sensors for Gait Phase Detection.- Real-time mobile mixed-character license plate recognition via deep learning convolutional neural network.- Evaluation of Drivers´ Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator.- Driver Identification by An Ensemble of CNNs Obtained from Majority-Voting Model Selection.- State-of-the-Art Analysis of the Performance of the Sensors Utilized in Autonomous Vehicles in Extreme Conditions.- Semantic Segmentation using Events and Combination of Events and Frames.- Deep learning-based concrete crack detection using YOLO architecture.- Generating Control Command for an Autonomous Vehicle Based on Environmental Information.- Fractal-Based Spatiotemporal Predictive Model for Car Crash Risk Assessment.mehr

Schlagworte