Path Planning Algorithm to Enable Low Altitude Delivery Drones at the City Scale-Reference-Cited by-同舟云学术

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Path Planning Algorithm to Enable Low Altitude Delivery Drones at the City Scale

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Chatterjee Amrita,Reza Hassan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9052554/9070327/09071323.pdf?arnumber=9071323

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Enabled Trajectory Optimization of Logistics UAVs With Wind Impacts in Smart Cities;IEEE Transactions on Consumer Electronics;2024-02

2. Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance;Sensors;2023-10-27

3. Noise and Environmental Justice in Drone Fleet Delivery Paths: A Simulation-Based Audit and Algorithm for Fairer Impact Distribution;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. Q-Learning-Based Time-Adapted Early Arrival Path Algorithm for Drone Delivery Using Public Transport;ICC 2023 - IEEE International Conference on Communications;2023-05-28

5. Operation Volume Determination for Small Unmanned Aircraft Systems Based on Specific Operation Risk Assessment;Lecture Notes in Electrical Engineering;2022-09-30

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