Newly Updated Spectral Reflectance Material Dataset
In a significant development for automotive sensor modeling, an updated spectral reflectance material dataset has been released, offering valuable insights into the optical characteristics of automotive surfaces.
The updated dataset features:
- Original dataset plus vehicle varnish and moss rubber measurements
- Over 300 spectral reflectance material values
- Increased angle resolution ranging from 0° in 10° increments
- Time-of-flight (TOF) wavelength similar to common automotive lidar sensors
This update includes the integration of vehicle varnish measurements, crucial for realistic modeling of automotive sensor optical signatures, enhancing fidelity in lidar sensor parametrization towards digital twin applications. Additionally, moss rubber measurements contribute to reflectance measurements due to its close-to-Lambertian reflector behavior.
The accompanying images showcase measurements conducted using a self-developed time-of-flight camera measurement device, capturing varnishes commonly found in contemporary traffic vehicles, including highly reflective metallic varnishes.
David J. Ritter from Virtual Vehicle Research GmbH receives acknowledgment for his significant contributions to this endeavor.
For further information, the publication details are available online in the journal “Data in Brief” here, while the updated material dataset is openly accessible on the Zenodo repository here.
This update not only enhances the understanding of automotive surface optical properties but also provides valuable resources for advancing automotive sensor technology and digital twin applications.