Ultrasonic perception for autonomous vehicles

Spruit, J.L.P.

Ultrasonic perception for autonomous vehicles

Master thesis (2023)

Authors

J.L.P. Spruit Mechanical Engineering

Contributors

D. Gavrila Intelligent Vehicles - Mechanical, Maritime and Materials Engineering (mentor)

Faculty

Mechanical Engineering, Mechanical Engineering

Tracking Ultrasound Autonomous vehicles Autonomous driving Ultrasonic sensing Pedestrian detection

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Published Date

29-08-2023

Language

English

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Faculty

Mechanical Engineering

Abstract

With recent advancements in autonomous driving, the demand for precise and accurate perception systems has increased. Perception of the vehicle’s environment is a key element in ensuring safe operation. Due to their wide aperture angle and low cost, ultrasonic sensors are a viable option for achieving close-range 360° perception around the vehicle. This thesis investigates and evaluates the use of ultrasonic sensors for detection and tracking of objects and vulnerable road users in an SAE-level 4 autonomous vehicle. The thesis focuses on optimizing ultrasonic sensors for their designated measurement task and optimizing the positions of ultrasonic sensors on the vehicle. Furthermore, it explores different detection and tracking methods to investigate whether an ultrasonic detection system is indeed a viable candidate for close-range detection and tracking.

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