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University of Hawaii Drone Technologies

Problem

The market for commercial UAVs has seen a meteoric rise in the past few years. According to Allied research markets, the global commercial drone market was valued at around $2.145 billion in 2015 and projected to be around $10.73 billion in 2021 [1]. This shows that UAVs will most likely be an integral part of everyday life in the near future. Currently, autonomous UAVs are often applied in the inspection of agriculture or certain industries, such as oil, because UAVs are time and money efficient. For example, hiring a helicopter crew to inspect oil pipes may be more costly than using drones. In addition, a UAV could inspect agriculture faster and more accurately than planes or satellites [2].

Air delivery is an emerging use of autonomous UAVs. To illustrate this, a company called Zipline develops UAVs to deliver blood and vaccines to hospitals in Rwanda who are in desperate need of such supplies [3]. Since blood has a short shelf life, finding a fast means of delivery is vital which a UAV has proven to accomplish [4]. UAVs are also favorable since it would normally be difficult to transport this blood through normal means, given how far Rwanda is from the coastline. In addition, Uber Eats is developing a VTOL drone to shorten food-delivery time to eight minutes.  The company is set to test this UAV in 2020 [5].

Yet, there are many challenges in using an autonomous UAV for delivery.  For example, one needs to be mindful of payload and battery capacity as there 

would be dire consequences if the UAV were to lose power and crash, such as property damage, human injury or death, as well as customer dissatisfaction for not getting the delivery. Unfortunately, these aspects of delivery UAVs have been relatively neglected [6].  In particular, the Uber Eats’ VTOL drone can only fly up to 18 miles and carry meals for up to two people[5]. In addition to payload and battery capacity concerns, UAVs must also be able to adapt to the urban environment, avoid buildings, and safely deliver their package. For example, UAV payload delivery to a house requires accuracy so that it reaches the intended recipient’s target location while avoiding surrounding obstacles.

UHDT plans to address these shortcomings faced by companies in UAS development by developing a UAV to accomplish short and long term goals. The short term goals will last the span of the 2022/2023 school year and include constructing a new quadcopter to improve mission efficiency. These tasks include designing a new Air Delivery box, more accurately identifying and locating targets, improving the reliability of the payload-deployment method, and optimizing the UAV for longer flight duration. This UAV will be integrated with the Image Processing (IP) and Air Delivery (AD) subsystems to create the 2023 UAS. The long term goal of UHDT is to design and manufacture an efficient and robost quadcopter that would serve as the UAV in UHDT’s 2023 UAS design and could potentially be passed down to future teams. 

Performance

Abilities Of Current System

UAV: Autonomous takeoff, flight, landing, payload delivery
AD: Deliver five payloads to their corresponding targets
IP: detect, classify, and pinpoint targets within a search area

Improvements To Be Made

UAV: Construction of the new airframe & optimization
AD: Optimize current design & manufacture AD components
IP: Mapping, target detection and Image Transfer

Expenditures

Technical Budget
$ 1
Competition Budget
$ 1
Travel Budget
$ 1
Total
$ 1
Current Budget
$ 1

Project is Funded!

Next goal: $20k by the end of Spring 2023 to support the next team's research!

If you would like to donate to help UHDT, please contact
Brock Barr (UHDT Marketing Officer) at barrb@hawaii.edu

Schedule

UAV Hardware Subsystem

Fall 2022:

Spring 2023:

UAV Software Subsystem

Fall 2022:

Spring 2023:

Image Processing Subsystem

Fall 2022:

Spring 2023:

Air Delivery Subsystem

Fall 2022:

Spring 2023:

References

[1] Lanjudkar, P. (2019). Commercial Drones Market Size, Share and Analysis | Forecast – 2022[Online] Alliedmarketresearch.com. Available at: https://www.alliedmarketresearch.com/ commercial-drone-market [Accessed 6 Nov. 2019].

[2] Goldman Sachs. (2019). Drones: Reporting for Work. [online] Available at: https://www.goldmansachs.com/insights/technology-driving-innovation/drones/ [Accessed 6 Nov. 2019].

[3]  Scott, J. and Scott, C. (2017). Drone Delivery Models for Healthcare. In: Hawaii International Conference on System Science. [Online] Available at: https://scholarspace.manoa.hawaii.edu/bitstream/10125/41557/paper0408.pdf [Accessed 6 Nov. 2019].

[4] E. Ackerman and E. Strickland, “Medical delivery drones take flight in east africa,” in IEEE Spectrum, vol. 55, no. 1, pp. 34-35, January 2018.

[5]Saunders, B. (2019). Uber to start San Diego drone deliveries. [Online] KGTV. Available at: https://www.10news.com/news/local-news/uber-eats-to-start-san-diego-drone-deliveries-in-2020 [Accessed 8 Nov. 2019].

[6] K. Dorling, J. Heinrichs, G. G. Messier and S. Magierowski, “Vehicle Routing Problems for Drone Delivery,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 1, pp. 70-85, Jan. 2017.