activity
20202025
most citedUWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey

126 citations · 238 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2025

A Sensor-Aware Phenomenological Framework for Lidar Degradation Simulation and SLAM Robustness Evaluation

Doumegna Mawuto Koudjo Felix, Xianjia Yu, Zhuo Zou +1

Lidar-based SLAM systems are highly sensitive to adverse conditions such as occlusion, noise, and field-of-view (FoV) degradation, yet existing robustness evaluation methods either…

cs.RO2025

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars

Doumegna Mawuto Koudjo Felix, Xianjia Yu, Jiaqiang Zhang +3

Lidar technology has been widely employed across various applications, such as robot localization in GNSS-denied environments and 3D reconstruction. Recent advancements have introd…

cs.CR2025★ 2 cited

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment

Anum Nawaz, Hafiz Humza Mahmood Ramzan, Xianjia Yu +2

Edge Intelligence (EI) serves as a critical enabler for privacy-preserving systems by providing AI-empowered computation and distributed caching services at the edge, thereby minim…

cs.RO2023

UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied Environments

Ha Sier, Xianjia Yu, Iacopo Catalano +3

LiDAR has become one of the primary sensors in robotics and autonomous system for high-accuracy situational awareness. In recent years, multi-modal LiDAR systems emerged, and among…

cs.RO2022★ 1 cited

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…

cs.RO2021★ 109 cited

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…

cs.DC2020

Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems

Jorge Peña Queralta, Li Qingqing, Zhuo Zou +1

This conceptual paper discusses how different aspects involving the autonomous operation of robots and vehicles will change when they have access to next-generation mobile networks…

eess.SP2020★ 126 cited

UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey

Wang Shule, Carmen Martínez Almansa, Jorge Peña Queralta +2

Ultra-wideband technology has emerged in recent years as a robust solution for localization in GNSS denied environments. In particular, its high accuracy when compared to other wir…