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