Hashemi / Ghatee | Artificial Intelligence and Smart Vehicles | Buch | 978-3-031-43762-5 | sack.de

Buch, Englisch, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g

Reihe: Communications in Computer and Information Science

Hashemi / Ghatee

Artificial Intelligence and Smart Vehicles

First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers
1. Auflage 2023
ISBN: 978-3-031-43762-5
Verlag: Springer Nature Switzerland

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

Buch, Englisch, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-43762-5
Verlag: Springer Nature Switzerland


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.
Hashemi / Ghatee Artificial Intelligence and Smart Vehicles jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.