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.
Institutions
- King Abdullah University of Science and Technology (SA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-03
- DOI
- https://doi.org/10.5281/zenodo.14269161
- Primary Topic
- Cancer and biochemical research
- Type
- article
- Field-Weighted Citation Impact
- 0.00