Performance-based emergency landing trajectory planning applying meta-heuristic and Dubins paths

Haghighi, Hassan; Delahaye, Daniel; Asadi, Davood

doi:10.1016/j.asoc.2022.108453

Cited by 18 publications

(8 citation statements)

References 27 publications

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“…Haghighi et al [23] present a post-failure performance analysis and develop an algorithm to generate emergency trajectories. Their method is based on Dubins curves and Apollonius results.…”

Section: B Aircraft Emergency Trajectory Designmentioning

confidence: 99%

Aircraft Emergency Trajectory Design: A Fast Marching Method on a Tetrahedral Mesh

Ligny¹,

Guitart²,

Delahaye³

et al. 2022

SSRN Journal

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“…Haghighi et al [23] present a post-failure performance analysis and develop an algorithm to generate emergency trajectories. Their method is based on Dubins curves and Apollonius results.…”

Section: B Aircraft Emergency Trajectory Designmentioning

confidence: 99%

Aircraft Emergency Trajectory Design: A Fast Marching Method on a Tetrahedral Mesh

Ligny¹,

Guitart²,

Delahaye³

et al. 2022

SSRN Journal

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“…However, the computing time of their algorithm can be high. Haghighi et al [8] presented a post-failure performance analysis and an optimization method to generate a fast and safe landing trajectory that avoids obstacles. Their method was based on Dubins curves and Apollonius results [9].…”

Section: Design Of Emergency Landing Trajectoriesmentioning

confidence: 99%

An Accelerated Dual Fast Marching Tree Applied to Emergency Geometric Trajectory Generation

2022

Self Cite

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This paper addresses the generation of aircraft emergency trajectories with obstacle avoidance. After presenting in detail the fast marching tree algorithm, in this paper we propose an improvement of its performance. First, the free space checking function is sped up. Then, the algorithm is used twice, firstly with the sampling of a few points to generate an approximate trajectory, and secondly with a sampling of points close to the first computed trajectory to refine it. The proposed method significantly reduces the computing time of the emergency geometric trajectory generation.

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“…Studies on trajectory planning with constrains could help to solve landing with speed. In order to ensure that the amphibious vehicle lands at a particular designed place with a demanded speed, [157] planned the trajectory with Dubins Curve for fixed-wing aircraft and optimized it by the metaheuristic structure. It adapted to multiple middle turns to avoid the obstacles on the route.…”

Section: Adaptive Landingmentioning

confidence: 99%

Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation

Zhang¹,

Huang²,

Huang³

et al. 2022

Preprint

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Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-land mobility and have received growing attention recently. By analyzing the existing amphibious vehicles, we highlight the autonomous fly-driving functionality for the effective uses of amphibious vehicles in complex three-dimensional urban transportation systems. We review and summarize the key enabling technologies for intelligent flying-driving in existing amphibious vehicle designs, identify major technological barriers and propose potential solutions for future research and innovation. This paper aims to serve as a guide for research and development of intelligent amphibious vehicles for urban transportation toward the future.

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Performance-based emergency landing trajectory planning applying meta-heuristic and Dubins paths

Cited by 18 publications

References 27 publications

Aircraft Emergency Trajectory Design: A Fast Marching Method on a Tetrahedral Mesh

Aircraft Emergency Trajectory Design: A Fast Marching Method on a Tetrahedral Mesh

An Accelerated Dual Fast Marching Tree Applied to Emergency Geometric Trajectory Generation

Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation

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