185 citations · 527 across the 8 of their papers we have counts for
8 papers
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
Hengli Wang, Rui Fan, Yuxiang Sun +1
The joint detection of drivable areas and road anomalies is a crucial task for ground mobile robots. In recent years, many impressive semantic segmentation networks, which can be u…
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
Rui Fan, Hengli Wang, Peide Cai +1
Freespace detection is an essential component of visual perception for self-driving cars. The recent efforts made in data-fusion convolutional neural networks (CNNs) have significa…
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…
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,…
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs
Hengli Wang, Yuxiang Sun, Ming Liu
The segmentation of drivable areas and road anomalies are critical capabilities to achieve autonomous navigation for robotic wheelchairs. The recent progress of semantic segmentati…
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…