4 citations · 9 across the 8 of their papers we have counts for
7 papers · 1 filter
Annotation-Free Curb Detection Leveraging Altitude Difference Image
Fulong Ma, Peng Hou, Yuxuan Liu +3
Road curbs are considered as one of the crucial and ubiquitous traffic features, which are essential for ensuring the safety of autonomous vehicles. Current methods for detecting c…
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
Guoyang Zhao, Fulong Ma, Weiqing Qi +4
Traffic sign is a critical map feature for navigation and traffic control. Nevertheless, current methods for traffic sign recognition rely on traditional deep learning models, whic…
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye Camera
Guoyang Zhao, Yuxuan Liu, Weiqing Qi +3
Accurate depth estimation is crucial for 3D scene comprehension in robotics and autonomous vehicles. Fisheye cameras, known for their wide field of view, have inherent geometric be…
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
Fulong Ma, Weiqing Qi, Guoyang Zhao +5
3D lane detection is essential in autonomous driving as it extracts structural and traffic information from the road in three-dimensional space, aiding self-driving cars in logical…
Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous Driving
Yuxuan Liu
This dissertation is a multifaceted contribution to the advancement of vision-based 3D perception technologies. In the first segment, the thesis introduces structural enhancements…
CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
Guoyang Zhao, Fulong Ma, Weiqing Qi +3
Curb detection is a crucial function in intelligent driving, essential for determining drivable areas on the road. However, the complexity of road environments makes curb detection…
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training
Fulong Ma, Xiaoyang Yan, Guoyang Zhao +4
Monocular 3D object detection plays a crucial role in autonomous driving. However, existing monocular 3D detection algorithms depend on 3D labels derived from LiDAR measurements, w…