M
Mehran Khaghani
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 21
Citations - 265
Mehran Khaghani is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: GNSS applications & Inertial measurement unit. The author has an hindex of 7, co-authored 20 publications receiving 213 citations. Previous affiliations of Mehran Khaghani include University of Geneva & Sharif University of Technology.
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Nonlinear thermoelasticity, vibration, and stress wave propagation analyses of thick fgm cylinders with temperature-dependent material properties
TL;DR: In this article, a nonlinear thermoelasticity, vibration, and stress wave propagation analyses of cylinders made of functionally graded materials with temperature-dependent properties are performed. But, unlike previous works, the authors in this paper do not consider the effects of the volume fraction indices, dimensions, and temperature-dependency of the material properties on the transient stress distribution.
Journal ArticleDOI
Nonlinear transient thermal stress and elastic wave propagation analyses of thick temperature-dependent FGM cylinders, using a second-order point-collocation method
TL;DR: In this article, the authors developed nonlinear transient thermal stress and elastic wave propagation analyses for hollow thick temperature-dependent FGM cylinders subjected to dynamic thermomechanical loads using a second-order formulation rather than a first-order one.
Journal ArticleDOI
Autonomous Vehicle Dynamic Model‐Based Navigation for Small UAVs
Mehran Khaghani,Jan Skaloud +1 more
TL;DR: The proposed method significantly increases the accuracy and reliability of autonomous navigation, especially for small UAVs with low-cost IMUs, and Monte Carlo simulations reveal major improvements in navigation accuracy compared to conventional INS/GNSS systems during GNSS outages of 5 min.
Journal ArticleDOI
Assessment of VDM-based autonomous navigation of a UAV under operational conditions
Mehran Khaghani,Jan Skaloud +1 more
TL;DR: Extensions and practical realization of a previously proposed novel approach to navigation and sensor integration for small unmanned aerial vehicles (UAV) require no added hardware, yet significantly improves navigation performance, especially in case of GNSS outages.
Proceedings ArticleDOI
Collision avoidance with obstacles in flocking for multi agent systems
TL;DR: In this paper, the authors introduced a theorem that multi-agent systems could flock in environments with fixed obstacles without any collision between agents and obstacles, and they used Lyapunov theory and prior algorithms on flocking to extract a theorem which under those conditions in the theorem, collision never occurs.