Trajectory optimization for takeoff and landing phase of UAM considering energy and safety

Park, Jin; Kim, Inrae; Suk, Jinyoung; Kim, Taegyun

doi:10.1016/j.ast.2023.108489

Cited by 5 publications

(1 citation statement)

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“…For operating drones in urban environments, we need to consider the restricted airspace around the landing pad. Some research proposed that a conical airspace is effective in an urban area [10–14].…”

Section: Introductionmentioning

confidence: 99%

Real‐time collision‐free landing path planning for drone deliveries in urban environments

Lee,

Cho,

Jung

2023

ETRI Journal

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This study presents a novel safe landing algorithm for urban drone deliveries. The rapid advancement of drone technology has given rise to various delivery services for everyday necessities and emergency relief efforts. However, the reliability of drone delivery technology is still insufficient for application in urban environments. The proposed approach uses the “landing angle control” method to allow the drone to land vertically and a rapidly exploring random tree‐based collision avoidance algorithm to generate safe and efficient vertical landing paths for drones while avoiding common urban obstacles like trees, street lights, utility poles, and wires; these methods allow for precise and reliable urban drone delivery. We verified the approach within a Gazebo simulation operated through ROS using a six‐degree‐of‐freedom drone model and sensors with similar specifications to actual models. The performance of the algorithms was tested in various scenarios by comparing it with that of state‐of‐the‐art 3D path planning algorithms.

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Section: Introductionmentioning

confidence: 99%