Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Adarsh Velmurugan Nivetha Elangovan
Abstract
Advancements In Autonomous Vehicle Technology Rely Heavily On Their Ability To Navigate Diverse And Challenging Conditions, Including Extreme Environments. This Paper Explores The Use Of AI-generated Synthetic Data To Enhance Training Datasets For Autonom
Keywords
Autonomous Vehicles
Synthetic Data
LidarExtreme Conditions
AI
GANs
Machine Learning
Safety
Training Data
Paper ID
IJSARTV10I999418
Publication Date
September 14, 2024
Research Area
Artificial Intelligence And Data Science