Artificial Intelligence and Smart Vehicles: First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers

Author:   Mehdi Ghatee ,  S. Mehdi Hashemi
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   1883
ISBN:  

9783031437625


Pages:   217
Publication Date:   05 October 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligence and Smart Vehicles: First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers


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Overview

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.

Full Product Details

Author:   Mehdi Ghatee ,  S. Mehdi Hashemi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   1883
Weight:   0.361kg
ISBN:  

9783031437625


ISBN 10:   3031437624
Pages:   217
Publication Date:   05 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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