Sustechgan: Image generation for object detection in adverse conditions of autonomous driving

G Lan, Y Peng, Q Hao, C Xu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Autonomous driving significantly benefits from datadriven deep neural networks. However,
the data in autonomous driving typically fits the long-tailed distribution, in which the critical …

SUSTechGAN: Image Generation for Object Recognition in Adverse Conditions of Autonomous Driving

G Lan, Y Peng, Q Hao, C Xu - arxiv preprint arxiv:2408.01430, 2024 - arxiv.org
Autonomous driving significantly benefits from data-driven deep neural networks. However,
the data in autonomous driving typically fits the long-tailed distribution, in which the critical …

Exploring Generative AI for Sim2Real in Driving Data Synthesis

H Zhao, Y Wang, T Bashford-Rogers… - arxiv preprint arxiv …, 2024 - arxiv.org
Datasets are essential for training and testing vehicle perception algorithms. However, the
collection and annotation of real-world images is time-consuming and expensive. Driving …

A noise analysis of 4D RADAR: robust sensing for automotive?

PH Chan, SS Roudposhti, X Ye, V Donzella - Authorea Preprints, 2023 - techrxiv.org
The sensor suite for assisted and automated driving functions vehicle is critical to the
function of a vehicle, but also the first and most important limitation to the level of automation …