Exploring the Use of Artificial Intelligence-Generated Synthetic Data for Enhanced Training and Optimization of Autonomous Vehicles in Complex Urban Environments

Artificial intelligence (AI)-generated synthetic data provides an innovative approach to enhancing the training and optimization of autonomous vehicles (AVs) in complex urban environments. This study examines the generation, validation, and application of synthetic datasets in improving AV navigation and decision-making. Results highlight significant advancements in model performance and training efficiency.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-03
DOI
https://doi.org/10.5281/zenodo.14269162
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Use of Artificial Intelligence-Generated Synthetic Data for Enhanced Training and Optimization of Autonomous Vehicles in Complex Urban Environments

Zenodo (CERN European Organization for Nuclear Research)
Autonomous Vehicle Technology and Safety
article

Exploring the Use of Artificial Intelligence-Generated Synthetic Data for Enhanced Training and Optimization of Autonomous Vehicles in Complex Urban Environments

article en

Abstract

Artificial intelligence (AI)-generated synthetic data provides an innovative approach to enhancing the training and optimization of autonomous vehicles (AVs) in complex urban environments. This study examines the generation, validation, and application of synthetic datasets in improving AV navigation and decision-making. Results highlight significant advancements in model performance and training efficiency.

Zenodo (CERN European Organization for Nuclear Research)
King Abdullah University of Science and Technology (SA)
Sustainable cities and communities
Openalex Percentile: Top 64%
Autonomous Vehicle Technology and Safety
DOIOpen Access PDFOpenAlex
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Exploring the Use of Artificial Intelligence-Generated Synthetic Data for Enhanced Training and Optimization of Autonomous Vehicles in Complex Urban Environments · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS