Rongguang Wu — accepted AI-conference papers

2024

EverySync: An Open Hardware Time Synchronization Sensor Suite for Common Sensors in SLAM

Xuankang Wu, Haoxiang Sun, Rongguang Wu, Zheng Fang

IROS 2024poster

Multi-sensor fusion systems have been widely applied in various fields, including mobile robot, simultaneous localization and mapping (SLAM), and autonomous driving. For a tightly coupled multi-sensor fusion system, strict time synchronization between sensors will improve the accuracy of the system.…

Cited by 1 Source ↗Scholar ↗

2024

Observation Time Difference: an Online Dynamic Objects Removal Method for Ground Vehicles

Rongguang Wu, Chenglin Pang, Xuankang Wu, Zheng Fang

ICRA 2024poster

In the process of urban environment mapping, the sequential accumulations of dynamic objects will leave a large number of traces in the map. These traces will usually have bad influences on the localization accuracy and navigation performance of the robot. Therefore, dynamic objects removal plays an…

Cited by 1 Source ↗code ↗Scholar ↗