Artificial Intelligence and Smart Vehicles

First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers

AvMehdi Ghatee,S. Mehdi Hashemi

Häftad, Engelska, 2023

Del 1883 i serien Communications in Computer and Information Science

830 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-10-05
Mått:155 x 235 x 13 mm
Vikt:359 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:217
Upplaga:23001
Förlag:Springer International Publishing AG
ISBN:9783031437625

Utforska kategorier

Innehållsförteckning

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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