1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments using Occlusion-Free Spheres
Benxu Tang, Yunfan Ren, Fangcheng Zhu +4
Autonomous exploration is a crucial aspect of robotics that has numerous applications. Most of the existing methods greedily choose goals that maximize immediate reward. This strat…
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
Fanze Kong, Xiyuan Liu, Benxu Tang +6
The emergence of low-cost, small form factor and light-weight solid-state LiDAR sensors have brought new opportunities for autonomous unmanned aerial vehicles (UAVs) by advancing n…