3 citations · 4 across the 3 of their papers we have counts for
4 papers
EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee, Sangwon Hwang, Chaewon Park +1
Monocular depth estimation is an especially important task in robotics and autonomous driving, where 3D structural information is essential. However, extreme lighting conditions an…
Robust Lane Detection via Expanded Self Attention
Minhyeok Lee, Junhyeop Lee, Dogyoon Lee +3
The image-based lane detection algorithm is one of the key technologies in autonomous vehicles. Modern deep learning methods achieve high performance in lane detection, but it is s…
False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier
Sungmin Woo, Sangwon Hwang, Woojin Kim +3
Recently, researchers have been leveraging LiDAR point cloud for higher accuracy in 3D vehicle detection. Most state-of-the-art methods are deep learning based, but are easily affe…
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map
Joosung Lee, Sangwon Hwang, Kyungjae Lee +4
Visual odometry is an essential key for a localization module in SLAM systems. However, previous methods require tuning the system to adapt environment changes. In this paper, we p…