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09/06/2021
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
Existing road pothole detection approaches can be classified as computer...
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07/17/2021
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
Convolutional neural network (CNN)-based stereo matching approaches gene...
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07/17/2021
Co-Teaching: An Ark to Unsupervised Stereo Matching
Stereo matching is a key component of autonomous driving perception. Rec...
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03/18/2021
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs
Path planning is a fundamental capability for autonomous navigation of r...
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03/03/2021
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
Joint detection of drivable areas and road anomalies is very important f...
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11/04/2020
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
The interpretation of ego motion and scene change is a fundamental task ...
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08/26/2020
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
The joint detection of drivable areas and road anomalies is a crucial ta...
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08/21/2020
ATG-PVD: Ticketing Parking Violations on A Drone
In this paper, we introduce a novel suspect-and-investigate framework, w...
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08/16/2020
We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation
Manual visual inspection performed by certified inspectors is still the ...
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07/12/2020
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs
The segmentation of drivable areas and road anomalies are critical capab...
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05/17/2020
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator
Over the past decade, significant efforts have been made to improve the ...
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04/16/2020