most citedCommunication constrained cloud-based long-term visual localization in real time

4 citations · 4 across the 1 of their papers we have counts for

collaborators

7 papers

cs.RO20194 cited

Communication constrained cloud-based long-term visual localization in real time

Xiaqing Ding, Yue Wang, Li Tang +2

Visual localization is one of the primary capabilities for mobile robots. Long-term visual localization in real time is particularly challenging, in which the robot is required to…

cs.RO2019

LiDAR-Camera Calibration under Arbitrary Configurations: Observability and Methods

Bo Fu, Yue Wang, Xiaqing Ding +3

LiDAR-camera calibration is a precondition for many heterogeneous systems that fuse data from LiDAR and camera. However, the constraint from common field of view and the requiremen…

cs.DL2018

Long live the scientists: Tracking the scientific fame of great minds in physics

Guoyan Wang, Guangyuan Hu, Chuanfeng Li +1

This study utilizes global digitalized books and articles to examine the scientific fame of the most influential physicists. Our research reveals that the greatest minds are gone b…

cs.DL2018

Missing author address information in Web of Science-An explorative study

Weishu Liu, Guangyuan Hu, Li Tang

Bibliometric analysis is increasingly used to evaluate and compare research performance across geographical regions. However, the problem of missing information from author address…

cs.RO2018

Multi-session Map Construction in Outdoor Dynamic Environment

Xiaqing Ding, Yue Wang, Huan Yin +2

Map construction in large scale outdoor environment is of importance for robots to robustly fulfill their tasks. Massive sessions of data should be merged to distinguish low dynami…

cs.DC2018

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale

Line Pouchard, Sterling Baldwin, Todd Elsethagen +6

We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvE…