EuCAP2024 - Min-Path-Tracing: A Diffraction Aware Alternative to Image Method in Ray Tracing

Our paper has been accepted to EuCAP 2024!

At EuCAP 2024, I presented our work Fully Differentiable Ray Tracing via Discontinuity Smoothing for Radio Network Optimization (Eertmans et al., 2024). In this paper, we investigate the challenges of making a Fully Differentiable Ray Tracing software for radio propagation applications.

Slides

The following slides are made with RevealJS and are interactive!

Use basic keys like LEFT and RIGHT to navigate through slides, or F to go full screen.

The slides were generated using the Manim (The Manim Community Developers, 2022) animation engine and Manim Slides (Eertmans, 2023), one of my open source projects, to combine the animations into slides and later convert them to a RevealJS .html file.

If you prefer, PowerPoint and PDF versions are also available.

References

1. Eertmans, J., Oestges, C., & Jacques, L. (2024). Fully Differentiable Ray Tracing via Discontinuity Smoothing for Radio Network Optimization. 2024 18th European Conference on Antennas and Propagation (EuCAP), 1–5.
2. The Manim Community Developers. (2022). Manim – Mathematical Animation Framework (Version v0.17.2). https://www.manim.community/
3. Eertmans, J. (2023). Manim Slides: A Python package for presenting Manim content anywhere. Journal of Open Source Education, 6(66), 206. https://doi.org/10.21105/jose.00206

Source code

Available on GitHub: _slides/2024-03-18-eucap-presentation/main.py.