Real-Time Multi-Modal Active Vision for Object Detection on UAVs Equipped With Limited Field of View LiDAR and Camera-Reference-Cited by-同舟云学术

Real-Time Multi-Modal Active Vision for Object Detection on UAVs Equipped With Limited Field of View LiDAR and Camera

Published:2023-10 Issue:10 Volume:8 Page:6571-6578
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Shi Chuanbeibei¹^ORCID,Lai Ganghua¹^ORCID,Yu Yushu¹^ORCID,Bellone Mauro²^ORCID,Lippiello Vincezo³^ORCID

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

2. Smart City Center of Excellence, Tallinn University of Technology, Tallinn, Estonia

3. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

State Key Laboratory of Robotics and Systems

Beijing Institute of Technology Research Fund Program for Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10220574/10233103.pdf?arnumber=10233103

Reference27 articles.

1. RAPTOR: Robust and Perception-Aware Trajectory Replanning for Quadrotor Fast Flight

2. Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision

3. Perception-aware Receding Horizon Navigation for MAVs

4. Perception-aware Path Planning for UAVs using Semantic Segmentation

5. Lidar–Camera Semi-Supervised Learning for Semantic Segmentation

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