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Titolo: | Artificial Intelligence and Smart Vehicles [[electronic resource] ] : First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers / / edited by Mehdi Ghatee, S. Mehdi Hashemi |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (230 pages) |
Disciplina: | 670.28563 |
Soggetto topico: | Artificial intelligence |
Image processing - Digital techniques | |
Computer vision | |
Signal processing | |
Computer networks | |
Machine learning | |
Artificial Intelligence | |
Computer Imaging, Vision, Pattern Recognition and Graphics | |
Signal, Speech and Image Processing | |
Computer Communication Networks | |
Machine Learning | |
Persona (resp. second.): | GhateeMehdi |
HashemiS. Mehdi | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. They were organized in topical sections as follows: machine learning, data mining, machine vision, image processing, signal analysis, decision support systems, expert systems, and their applications in smart vehicles. |
Titolo autorizzato: | Artificial Intelligence and Smart Vehicles |
ISBN: | 3-031-43763-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996558570503316 |
Lo trovi qui: | Univ. di Salerno |
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