activity
20182022
most citedLearning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation

79 citations · 126 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV20221 cited

Computer-Aided Road Inspection: Systems and Algorithms

Rui Fan, Sicen Guo, Li Wang +1

Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety. The traditional manual visual road inspection proces…

cs.CV202028 cited

Computer Stereo Vision for Autonomous Driving

Rui Fan, Li Wang, Mohammud Junaid Bocus +1

As an important component of autonomous systems, autonomous car perception has had a big leap with recent advances in parallel computing architectures. With the use of tiny but ful…

cs.CV2020

ATG-PVD: Ticketing Parking Violations on A Drone

Hengli Wang, Yuxuan Liu, Huaiyang Huang +8

In this paper, we introduce a novel suspect-and-investigate framework, which can be easily embedded in a drone for automated parking violation detection (PVD). Our proposed framewo…

cs.CV2020

We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation

Rui Fan, Hengli Wang, Mohammud J. Bocus +1

Manual visual inspection performed by certified inspectors is still the main form of road pothole detection. This process is, however, not only tedious, time-consuming and costly,…

cs.CV201917 cited

Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

Rui Fan, Mohammud Junaid Bocus, Yilong Zhu +5

Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers.…

cs.CV2018

Real-Time Stereo Vision for Road Surface 3-D Reconstruction

Rui Fan, Yanan Liu, Xingrui Yang +3

Stereo vision techniques have been widely used in civil engineering to acquire 3-D road data. The two important factors of stereo vision are accuracy and speed. However, it is very…