activity
20192024
most citedGMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models

31 citations · 52 across the 14 of their papers we have counts for

collaborators

17 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.RO20211 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.RO20216 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.CV20211 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…