109 citations · 184 across the 9 of their papers we have counts for
11 papers
A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments
Ha Sier, Li Qingqing, Yu Xianjia +3
Lidar-based simultaneous localization and mapping (SLAM) approaches have obtained considerable success in autonomous robotic systems. This is in part owing to the high-accuracy of…
Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms
Qingqing Li, Xianjia Yu, Jorge Peña Queralta +1
Lidar technology has evolved significantly over the last decade, with higher resolution, better accuracy, and lower cost devices available today. In addition, new scanning modaliti…
Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
Li Qingqing, Yu Xianjia, Jorge Peña Queralta +1
Micro-aerial vehicles (MAVs) are becoming ubiquitous across multiple industries and application domains. Lightweight MAVs with only an onboard flight controller and a minimal senso…
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Yu Xianjia, Li Qingqing, Jorge Pena Queralta +2
Unmanned aerial vehicles (UAVs) are becoming largely ubiquitous with an increasing demand for aerial data. Accurate navigation and localization, required for precise data collectio…
Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems
Xianjia Yu, Qingqing Li, Jorge Peña Queralta +2
Ultra-wideband (UWB) technology is a mature technology that contested other wireless technologies in the advent of the IoT but did not achieve the same levels of widespread adoptio…
Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
Li Qingqing, Jorge Peña Queralta, Tuan Nguyen Gia +2
The combination of data from multiple sensors, also known as sensor fusion or data fusion, is a key aspect in the design of autonomous robots. In particular, algorithms able to acc…