9 citations · 20 across the 4 of their papers we have counts for
4 papers
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Haoyu Fang, Jing Zhu, Yi Fang
Lane segmentation is a challenging issue in autonomous driving system designing because lane marks show weak textural consistency due to occlusion or extreme illumination but stron…
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment
Yunxiao Shi, Jing Zhu, Yi Fang +2
Learning to predict scene depth and camera motion from RGB inputs only is a challenging task. Most existing learning based methods deal with this task in a supervised manner which…
Structure-Attentioned Memory Network for Monocular Depth Estimation
Jing Zhu, Yunxiao Shi, Mengwei Ren +3
Monocular depth estimation is a challenging task that aims to predict a corresponding depth map from a given single RGB image. Recent deep learning models have been proposed to pre…
Learning Object-specific Distance from a Monocular Image
Jing Zhu, Yi Fang, Husam Abu-Haimed +3
Environment perception, including object detection and distance estimation, is one of the most crucial tasks for autonomous driving. Many attentions have been paid on the object de…