Autonomous vehicles are at the forefront of future transportation solutions, but their success
hinges on reliable perception. This review paper surveys image processing and sensor …

This review article comprehensively delves into the rapidly evolving field of domain
adaptation in computer and robotic vision. It offers a detailed technical analysis of the …

Current perceptive models heavily depend on resource-intensive datasets prompting the
need for innovative solutions. Leveraging recent advances in diffusion models synthetic data …

This paper introduces BlendCon, a fully automated framework capable of simultaneously
synthesizing and labeling construction imagery data. This framework simulates a …

Object detection (OD) in Advanced Driver Assistant Systems (ADAS) has been a
fundamental problem especially when complex unseen cross-domain adaptations occur in …

This paper presents a novel methodology for generating synthetic images that adhere
accurately to provided semantic segmentation maps using the Stable Diffusion model with …

PREDICTION OF CAMERA CALIBRATION AND DISTORTION PARAMETERS USING
DEEP LEARNING AND SYNTHETIC DATA Page 1 Faiz Muhammad Chaudhry …

Abstract We present the Synthetic Photo-realistic Arboreal Dataset (SPREAD), a state-of-the-
art synthetic dataset specifically designed for forest-related machine learning tasks …