activity
20192024
most citedThe Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation

61 citations · 175 across the 19 of their papers we have counts for

collaborators

19 papers

cs.RO2024

Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion

Jinhao He, Huaiyang Huang, Shuyang Zhang +3

Unmanned vehicles usually rely on Global Positioning System (GPS) and Light Detection and Ranging (LiDAR) sensors to achieve high-precision localization results for navigation purp…

cs.CV2023★ 1 cited

FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving

Yuxuan Liu, Zhenhua Xu, Huaiyang Huang +2

Predicting accurate depth with monocular images is important for low-cost robotic applications and autonomous driving. This study proposes a comprehensive self-supervised framework…

cs.RO2022★ 1 cited

FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms

Jianhao Jiao, Hexiang Wei, Tianshuai Hu +10

Combining multiple sensors enables a robot to maximize its perceptual awareness of environments and enhance its robustness to external disturbance, crucial to robotic navigation. T…

cs.RO2021★ 1 cited

On Bundle Adjustment for Multiview PointCloud Registration

Huaiyang Huang, Yuxiang Sun, Jin Wu +5

Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple frames and reconstruct a scene with corresponding scans. Despite the success of pairwise…

cs.RO2021

Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM

Huaiyang Huang, Haoyang Ye, Yuxiang Sun +2

Traditional approaches for Visual Simultaneous Localization and Mapping (VSLAM) rely on low-level vision information for state estimation, such as handcrafted local features or the…

cs.RO2021★ 6 cited

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

Peide Cai, Hengli Wang, Huaiyang Huang +2

Autonomous car racing is a challenging task in the robotic control area. Traditional modular methods require accurate mapping, localization and planning, which makes them computati…

cs.CV2021★ 1 cited

Comparing Representations in Tracking for Event Camera-based SLAM

Jianhao Jiao, Huaiyang Huang, Liang Li +3

This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we mak…

cs.CV2021

3D Surfel Map-Aided Visual Relocalization with Learned Descriptors

Haoyang Ye, Huaiyang Huang, Marco Hutter +2

In this paper, we introduce a method for visual relocalization using the geometric information from a 3D surfel map. A visual database is first built by global indices from the 3D…

cs.RO2021★ 2 cited

Greedy-Based Feature Selection for Efficient LiDAR SLAM

Jianhao Jiao, Yilong Zhu, Haoyang Ye +5

Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-world scenarios. However, they commonly have a high latency due to the expensive data associati…

cs.RO2020★ 2 cited

Geometric Structure Aided Visual Inertial Localization

Huaiyang Huang, Haoyang Ye, Jianhao Jiao +2

Visual Localization is an essential component in autonomous navigation. Existing approaches are either based on the visual structure from SLAM/SfM or the geometric structure from d…

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.RO2020★ 31 cited

GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models

Huaiyang Huang, Haoyang Ye, Yuxiang Sun +1

Incorporating prior structure information into the visual state estimation could generally improve the localization performance. In this letter, we aim to address the paradox betwe…

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.RO2020★ 61 cited

The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation

Tianyu Liu, Qinghai Liao, Lu Gan +28

Since early 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly across the world. As at the date of writing this article, the disease has been globally reported in 223…

cs.RO2020★ 13 cited

Metric Monocular Localization Using Signed Distance Fields

Huaiyang Huang, Yuxiang Sun, Haoyang Ye +1

Metric localization plays a critical role in vision-based navigation. For overcoming the degradation of matching photometry under appearance changes, recent research resorted to in…

cs.RO2020

Monocular Direct Sparse Localization in a Prior 3D Surfel Map

Haoyang Ye, Huaiyang Huang, Ming Liu

In this paper, we introduce an approach to tracking the pose of a monocular camera in a prior surfel map. By rendering vertex and normal maps from the prior surfel map, the global…

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…

cs.RO2019★ 1 cited

Real-Time, Environmentally-Robust 3D LiDAR Localization

Yilong Zhu, Bohuan Xue, Linwei Zheng +3

Localization, or position fixing, is an important problem in robotics research. In this paper, we propose a novel approach for long-term localization in a changing environment usin…

cs.CV2019★ 5 cited

Real-Time Dense Stereo Embedded in A UAV for Road Inspection

Rui Fan, Jianhao Jiao, Jie Pan +3

The condition assessment of road surfaces is essential to ensure their serviceability while still providing maximum road traffic safety. This paper presents a robust stereo vision…