Path Planning for Drone Delivery in Dense Building Environments-Reference-Cited by-同舟云学术

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Path Planning for Drone Delivery in Dense Building Environments

Published:2023-09-24 Issue: Volume:1 Page:5542-5547
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Hu Xinting¹,Wu Yu²,Pang Bizhao³

Affiliation:

1. Air Traffic Management Research Institute, School of Mechanical and Aerospace Engineering, Nanyang Technological University,Singapore,637460

2. College of Aerospace Engineering, Chongqing University,Chongqing,China,400044

3. School of Mechanical and Aerospace Engineering, Nanyang Technological University,Singapore,639798

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422507.pdf?arnumber=10422507

Reference17 articles.

1. Cuckoo search-based method for trajectory planning of quadrotor in an urban environment

2. A Risk-based UAS Traffic Network Model for Adaptive Urban Airspace Management

3. Selective Goal Aiming Rapidly Exploring Random Tree Path Planning for UAVs

4. Online flight path planning with flight time constraints for fixed-wing UAVs in dynamic environments

5. Risk Assessment Model for UAV Cost-Effective Path Planning in Urban Environments

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