Sustechgan: Image generation for object detection in adverse conditions of autonomous driving
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 …
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
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 …
the data in autonomous driving typically fits the long-tailed distribution, in which the critical …
Exploring Generative AI for Sim2Real in Driving Data Synthesis
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 …
collection and annotation of real-world images is time-consuming and expensive. Driving …
A noise analysis of 4D RADAR: robust sensing for automotive?
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 …
function of a vehicle, but also the first and most important limitation to the level of automation …