1 citations · 1 across the 7 of their papers we have counts for
8 papers
Memory-Efficient Boundary Map for Large-Scale Occupancy Grid Mapping
Benxu Tang, Yunfan Ren, Yixi Cai +6
Determining the occupancy status of locations in the environment is a fundamental task for safety-critical robotic applications. Traditional occupancy grid mapping methods subdivid…
Visibility-Aware Cooperative Tracking with Decentralized LiDAR-Based Aerial Swarms
Longji Yin, Yunfan Ren, Fangcheng Zhu +6
Autonomous aerial tracking with drones offers vast potential for surveillance, cinematography, and industrial inspection applications. While single-drone tracking systems have been…
Flying through cluttered and dynamic environments with LiDAR
Huajie Wu, Wenyi Liu, Yunfan Ren +5
Navigating unmanned aerial vehicles (UAVs) through cluttered and dynamic environments remains a significant challenge, particularly when dealing with fast-moving or sudden-appearin…
LiDAR-based Quadrotor Autonomous Inspection System in Cluttered Environments
Wenyi Liu, Huajie Wu, Liuyu Shi +4
In recent years, autonomous unmanned aerial vehicle (UAV) technology has seen rapid advancements, significantly improving operational efficiency and mitigating risks associated wit…
Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System
Zheng Liu, Haotian Li, Chongjian Yuan +7
In this work, we present Voxel-SLAM: a complete, accurate, and versatile LiDAR-inertial SLAM system that fully utilizes short-term, mid-term, long-term, and multi-map data associat…
Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms
Fangcheng Zhu, Yunfan Ren, Longji Yin +8
Aerial swarm systems possess immense potential in various aspects, such as cooperative exploration, target tracking, search and rescue. Efficient, accurate self and mutual state es…
LiDAR-based Quadrotor for Slope Inspection in Dense Vegetation
Wenyi Liu, Yunfan Ren, Rui Guo +6
This work presents a LiDAR-based quadrotor system for slope inspection in dense vegetation environments. Cities like Hong Kong are vulnerable to climate hazards, which often result…
SLIM: Scalable and Lightweight LiDAR Mapping in Urban Environments
Zehuan Yu, Zhijian Qiao, Wenyi Liu +2
LiDAR point cloud maps are extensively utilized on roads for robot navigation due to their high consistency. However, dense point clouds face challenges of high memory consumption…