Yunfan REN
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    • Swarm-LIO2: Decentralized Efficient LiDAR-Inertial Odometry for Aerial Swarm Systems
    • Large-Scale Multi-Session Point-Cloud Map Merging
    • Fast-livo2: Fast, direct lidar-inertial-visual odometry
    • Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments Using Occlusion-Free Spheres
    • Decentralized swarm trajectory generation for lidar-based aerial tracking in cluttered environments
    • Trajectory Generation and Tracking Control for Aggressive Tail-Sitter Flights
    • Immesh: An immediate lidar localization and meshing framework
    • Occupancy grid mapping without ray-casting for high-resolution lidar sensors
    • Perch a Quadrotor on Planes by the Ceiling Effect
    • Integrated Planning and Control for Quadrotor Navigation in Presence of Suddenly Appearing Objects and Disturbances
    • Online Whole-Body Motion Planning for Quadrotor using Multi-Resolution Search
    • Swarm-LIO: Decentralized Swarm LiDAR-inertial Odometry
    • MARSIM: A Light-Weight Point-Realistic Simulator for LiDAR-Based UAVs
    • Robust Real-time LiDAR-inertial Initialization
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Best Overall and Best Student Paper

Oct 1, 2023ยท
Yunfan REN
Yunfan REN
ยท 1 min read

We are excited to share that our paper Decentralized swarm trajectory generation for lidar-based aerial tracking in cluttered environments was selected as the finalist of the Best Overall and Best Student Paper in IROS 2023.

Last updated on Oct 1, 2023
Yunfan REN
Authors
Yunfan REN
Ph.D. Candidate

Outstanding Navigation Paper Jun 1, 2023 →

ยฉ {2024} Yunfan REN. This work is licensed under MIT License

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