Publications by authors named "R ROTT"
Article Synopsis
- Virtual testing and validation are essential for developing autonomous systems like self-driving cars, emphasizing the importance of realistic sensor modeling in the sense-plan-act cycle.
- A new point cloud lidar sensor model is introduced, which uses ray tracing and is designed for modular software architecture, allowing for standalone use and high customization to simulate various lidar sensors.
- The model incorporates an infrared material database to factor in physical sensor effects based on material reflectivity and studies the maximum range and angular dependence for various targets, with practical comparisons made using urban scene point clouds.
The main objective of this article is to provide angle-dependent spectral reflectance measurements of various materials in the near infrared spectrum. In contrast to already existing reflectance libraries, e.g.
View Article and Find Full Text PDFNext-generation sequencing (NGS) technologies have revolutionized biological research by generating genomic data that were once unaffordable by traditional first-generation sequencing technologies. These sequencing methodologies provide an opportunity for in-depth analyses of host and pathogen genomes as they are able to sequence millions of templates at a time. However, these large datasets can only be efficiently explored using bioinformatics analyses requiring huge data storage and computational resources adapted for high-performance processing.
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