260 citations · 1.4k across the 56 of their papers we have counts for
8 papers · 2 filters
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…
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
Hengli Wang, Rui Fan, Ming Liu
The interpretation of ego motion and scene change is a fundamental task for mobile robots. Optical flow information can be employed to estimate motion in the surroundings. Recently…
Smart-Inspect: Micro Scale Localization and Classification of Smartphone Glass Defects for Industrial Automation
M Usman Maqbool Bhutta, Shoaib Aslam, Peng Yun +2
The presence of any type of defect on the glass screen of smart devices has a great impact on their quality. We present a robust semi-supervised learning framework for intelligent…
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving
Jianhao Jiao, Peng Yun, Lei Tai +1
Extrinsic perturbation always exists in multiple sensors. In this paper, we focus on the extrinsic uncertainty in multi-LiDAR systems for 3D object detection. We first analyze the…
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…
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…
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
Peide Cai, Yuxiang Sun, Hengli Wang +1
Traditional methods for autonomous driving are implemented with many building blocks from perception, planning and control, making them difficult to generalize to varied scenarios…
PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
Sukai Wang, Yuxiang Sun, Chengju Liu +1
Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds. Most traditional tracking approaches use filters (e.g., Kalman filte…