Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges

S Aggarwal, N Kumar - Computer communications, 2020 - Elsevier
Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

An autonomous drone for search and rescue in forests using airborne optical sectioning

DC Schedl, I Kurmi, O Bimber - Science Robotics, 2021 - science.org
Autonomous drones will play an essential role in human-machine teaming in future search
and rescue (SAR) missions. We present a prototype that finds people fully autonomously in …

Existing path planning techniques in unmanned aerial vehicles (UAVs): A systematic review

A Vashisth, RS Batth, R Ward - 2021 International Conference …, 2021 - ieeexplore.ieee.org
In recent times Unmanned Aerial Vehicle developed promptly and broadly used in many
areas like reconstruction rescue and monitoring. In all the areas one important key …

Routing and collision avoidance techniques for unmanned aerial vehicles: Analysis, optimal solutions, and future directions

B Sharma, MS Obaidat, V Sharma… - International Journal of …, 2020 - Wiley Online Library
Routing remains the most important problem to be explored, for discovering an ideal
pathway in unmanned aerial vehicles (UAVs). Several problems for identifying and targeting …

3D optimal surveillance trajectory planning for multiple UAVs by using particle swarm optimization with surveillance area priority

H Teng, I Ahmad, A Msm, K Chang - IEEE Access, 2020 - ieeexplore.ieee.org
The use of the unmanned aerial vehicle (UAV) has been regarded as a promising technique
in both military and civilian applications. However, due to the lack of relevant laws and …

Multi‐objective optimization of transporting blood products by routing UAVs: the case of Istanbul

O Ozkan - International Transactions in Operational Research, 2023 - Wiley Online Library
Since the blood is necessary for surgical operations, disease treatments, chronic disorders,
and traumatic accidents, it is staminal to manage the flow in the supply chain of blood …

[HTML][HTML] Bidirectional Q-learning for recycling path planning of used appliances under strong and weak constraints

Y Qi, J Cao, B Wu - Communications in Transportation Research, 2024 - Elsevier
With the continuous innovation in household appliance technology and the improvement of
living standards, the production of discarded household appliances has rapidly increased …

Path Planning Methods for UAVs: A Survey

X Chen, J Tang, Y Ruan, J Zhan - … of the 3rd International Conference on …, 2024 - dl.acm.org
After years of development, low-cost Unmanned Aerial Vehicles (UAVs) play a pyramidally
important role in applications of miscellaneous fields by virtues of their excellent mobility and …

Genetic Algorithm and Greedy Strategy-Based Multi-Mission-Point Route Planning for Heavy-Duty Semi-Rigid Airship

S Hu, B Wang, A Zhang, Y Deng - Sensors, 2022 - mdpi.com
The large volume and windward area of the heavy-duty semi-rigid airship (HSA) result in a
large turning radius when the HSA passes through every mission point. In this study, a multi …

Multi-cloud path planning of unmanned aerial vehicles with multi-criteria decision making: a literature review

K Santhi, B Valarmathi, T Chellatamilan - Operationalizing Multi-Cloud …, 2022 - Springer
In the yester years, drones or unmanned aerial vehicle (UAV) has stayed an attention to
consider on with regard to associating innovation, security concerns, rules, and guidelines …