collaborators

7 papers

cs.RO2026

D-BDM: A Direct and Efficient Boundary-Based Occupancy Grid Mapping Framework for LiDARs

Benxu Tang, Yixi Cai, Fanze Kong +2

Efficient and scalable 3D occupancy mapping is essential for autonomous robot applications in unknown environments. However, traditional occupancy grid representations suffer from…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2025

A Survey on LiDAR-based Autonomous Aerial Vehicles

Yunfan Ren, Yixi Cai, Haotian Li +6

This survey offers a comprehensive overview of recent advancements in LiDAR-based autonomous Unmanned Aerial Vehicles (UAVs), covering their design, perception, planning, and contr…

cs.RO2025

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…

cs.RO2024

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…