activity
20192021
most citedPothole Detection Based on Disparity Transformation and Road Surface Modeling

269 citations · 494 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2021★ 108 cited

Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms

Rui Fan, Hengli Wang, Yuan Wang +2

Existing road pothole detection approaches can be classified as computer vision-based or machine learning-based. The former approaches typically employ 2-D image analysis/understan…

cs.CV2020★ 5 cited

Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation

Rui Fan, Umar Ozgunalp, Yuan Wang +2

Potholes are one of the most common forms of road damage, which can severely affect driving comfort, road safety and vehicle condition. Pothole detection is typically performed by…

cs.CV2020★ 28 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★ 3 cited

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★ 45 cited

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator

Rui Fan, Hengli Wang, Bohuan Xue +4

This paper proposes three-filters-to-normal (3F2N), an accurate and ultrafast surface normal estimator (SNE), which is designed for structured range sensor data, e.g., depth/dispar…

cs.RO2019★ 2 cited

A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry

Huaiyang Huang, Rui Fan, Yilong Zhu +2

Pavement condition is crucial for civil infrastructure maintenance. This task usually requires efficient road damage localization, which can be accomplished by the visual odometry…