Air-flow sensing for vehicle length estimation in autonomous driving applications

Roman Matvejev; Yar Muhammad; Naveed Muhammad

doi:10.1109/etfa45728.2021.9613563

Air-flow sensing for vehicle length estimation in autonomous driving applications

Roman Matvejev, Yar Muhammad, Naveed Muhammad

School of Physics, Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Flow sensing has been investigated in the context of underwater and aerial robotics in the past decade. It has not been explored for applications in autonomous ground robotics. In this work-in-progress paper, we investigate the use of air-flow sensing for the applications in autonomous driving. More precisely, we investigate the use of air-flow sensing for vehicle length estimation by conducting computational-fluid-dynamics (CFD) simulations

Original language	English
Title of host publication	2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781728129907
DOIs	https://doi.org/10.1109/etfa45728.2021.9613563
Publication status	Published - 7 Sept 2021

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10.1109/etfa45728.2021.9613563

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title = "Air-flow sensing for vehicle length estimation in autonomous driving applications",

abstract = "Flow sensing has been investigated in the context of underwater and aerial robotics in the past decade. It has not been explored for applications in autonomous ground robotics. In this work-in-progress paper, we investigate the use of air-flow sensing for the applications in autonomous driving. More precisely, we investigate the use of air-flow sensing for vehicle length estimation by conducting computational-fluid-dynamics (CFD) simulations",

author = "Roman Matvejev and Yar Muhammad and Naveed Muhammad",

note = "26th International Conference on Emerging Technologies and Automation ; Conference date: 07-09-2021 Through 10-09-2021",

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Air-flow sensing for vehicle length estimation in autonomous driving applications. / Matvejev, Roman; Muhammad, Yar; Muhammad, Naveed.
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). Institute of Electrical and Electronics Engineers (IEEE), 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Air-flow sensing for vehicle length estimation in autonomous driving applications

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AU - Muhammad, Yar

AU - Muhammad, Naveed

N1 - 26th International Conference on Emerging Technologies and Automation ; Conference date: 07-09-2021 Through 10-09-2021

PY - 2021/9/7

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N2 - Flow sensing has been investigated in the context of underwater and aerial robotics in the past decade. It has not been explored for applications in autonomous ground robotics. In this work-in-progress paper, we investigate the use of air-flow sensing for the applications in autonomous driving. More precisely, we investigate the use of air-flow sensing for vehicle length estimation by conducting computational-fluid-dynamics (CFD) simulations

AB - Flow sensing has been investigated in the context of underwater and aerial robotics in the past decade. It has not been explored for applications in autonomous ground robotics. In this work-in-progress paper, we investigate the use of air-flow sensing for the applications in autonomous driving. More precisely, we investigate the use of air-flow sensing for vehicle length estimation by conducting computational-fluid-dynamics (CFD) simulations

U2 - 10.1109/etfa45728.2021.9613563

DO - 10.1109/etfa45728.2021.9613563

M3 - Conference contribution

SN - 9781728129907

BT - 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Air-flow sensing for vehicle length estimation in autonomous driving applications

Abstract

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