Huiwen Guo — accepted AI-conference papers

2020

A Spatial-temporal Multiplexing Method for Dense 3D Surface Reconstruction of Moving Objects

Congying Sui, Kejing He, Zerui Wang, Congyi Lyu, Huiwen Guo, Yun-Hui Liu

ICRA 2020

Three-dimensional reconstruction of dynamic objects is important for robotic applications, for example, the robotic recognition and manipulation. In this paper, we present a novel 3D surface reconstruction method for moving objects. The proposed method combines the spatial-multiplexing and time-mult

Cited by 2 Source ↗Scholar ↗

2020

Lane Marking Verification for High Definition Map Maintenance Using Crowdsourced Images

Binbin Li, Dezhen Song, Aaron Kingery, Dongfang Zheng, Yiliang Xu, Huiwen Guo

IROS 2020poster

Autonomous vehicles often rely on high-definition (HD) maps to navigate around. However, lane markings (LMs) are not necessarily static objects due to wear & tear from usage and road reconstruction & maintenance. Therefore, the wrong matching between LMs in the HD map and sensor readings may lead to…

Cited by 10 Source ↗Scholar ↗