Multi-Domain Thermal Object Detection Using Generative Adversarial Networks
Moataz Eltahan, Khaled Elsayed · 2022
Autonomous driving (AD) is undeniably gaining a substantial role in the automotive industry. AD exploits emerging advances in object detection that benefit from improvements in deep learning algorithms, especially convolutional neural networks (CNNs). Scene perception is a crucial task in self-driving vehicles. Scene perception in AD is the ability to extract relevant data from the surroundings. The efficacy of perception largely depends on the sensors and cameras used in capturing the scene. It also depends on the surrounding environmental conditions, which affect the sensors and cameras.