62 citations · 65 across the 5 of their papers we have counts for
5 papers
SWIR-LightFusion: Multi-spectral Semantic Fusion of Synthetic SWIR with Thermal IR (LWIR/MWIR) and RGB
Muhammad Ishfaq Hussain, Ma Van Linh, Zubia Naz +3
Enhancing scene understanding in adverse visibility conditions remains a critical challenge for surveillance and autonomous navigation systems. Conventional imaging modalities, suc…
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion
Hyeonsoo Jang, Yeongmin Ko, Younkwan Lee +1
Depth estimation plays a important role in SLAM, odometry, and autonomous driving. Especially, monocular depth estimation is profitable technology because of its low cost, memory,…
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
Younkwan Lee, Jihyo Jeon, Yeongmin Ko +2
Visual perception in autonomous driving is a crucial part of a vehicle to navigate safely and sustainably in different traffic conditions. However, in bad weather such as heavy rai…
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
Yeongmin Ko, Younkwan Lee, Shoaib Azam +3
Perception techniques for autonomous driving should be adaptive to various environments. In the case of traffic line detection, an essential perception module, many condition shoul…
Unconstrained Road Marking Recognition with Generative Adversarial Networks
Younkwan Lee, Juhyun Lee, Yoojin Hong +2
Recent road marking recognition has achieved great success in the past few years along with the rapid development of deep learning. Although considerable advances have been made, t…