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Minisymposium Presentation

Simulating Biological and Engineered In-Air Acoustic Systems Using Ray Tracing

Wednesday, June 18, 2025
15:00
-
15:30
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

Presenter

Wouter
Jansen
-
University of Antwerp

Wouter Jansen received an M.Sc. degree in electronics and ICT engineering from the University of Antwerp, Belgium, in 2019. He joined the Cosys-Lab research group at the University of Antwerp shortly after, pursuing a Ph.D degree. His current research focuses on further advancements in the application of state-of-the-art in-air sonar sensors for industrial use cases by developing tools and techniques for learning semantics with this sensing modality.

Description

Ray tracing offers powerful capabilities for simulating wave propagation in diverse scientific fields, including acoustics. This presentation focuses on its application to in-air acoustic simulations, furthering our understanding of biological echolocation (e.g., bats) and advancing the development of in-air 3D sonar arrays, associated signal processing, and robotic applications. Our work in this area has evolved over time, initially using simpler 2D intersection calculations and progressing towards ray tracing methods capable of handling 3D scenes. Simulating the complex pulse-echo interactions of sound waves within detailed dynamic environments, involving multiple bounces and material-dependent reflections, presents significant computational challenges for which we will discuss our transition towards using hardware-accelerated ray tracing GPUs. This direction provides the ability to simulate larger, more complex scenes with moving objects and unique acoustic surface properties. We will discuss how key domain-specific challenges are tackled, such as modeling diffraction, alongside the continued need to optimize ray traversal and reflection calculations for achieving desired simulation fidelity efficiently on parallel hardware. This simulation framework facilitates rapid prototyping and testing of bio-inspired sonar sensors and their applications, enhances our understanding of complex animal behaviors, and provides a valuable tool bridging computational physics, robotics, and bioacoustics.

Authors