Technische Hochschule Ingolstadt
Publikationen und Poster
Diogo Wachtel, 2026, Analysing and Modelling Interference on Automotive Radar Sensors Generated by Water Drops, Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Technische Fakultät, https://doi.org/10.25593/open-fau-2827
Diogo Wachtel, Christian Schuessler, Tetmar von dem Bussche, Thomas Rothmeier, MartinVossiek, Werner Huber, 2024, Evaluation of Automotive Radar Simulation Tools for Adverse Weather Conditions: A Comparative Analysis of Real Measurement, HFSS and Monte-Carlo GO Methods.
Diogo Wachtel, Heitor Derder, Thomas Rothmeier, Bogdan Nassu, Werner Huber, 2024, Navigating on Adverse Weather: Enhancing LiDAR-Based Detection with the DBSPRY Dataset. IEEE International Conference on Intelligent Transportation Systems. Edmonton, Canada.
Diogo Wachtel, Sinan Tasabat, Thomas Rothmeier, Letícia Cristófoli, Werner Huber, 2024, Exploring Synthetic Radar Data and Deep Learning for Road User Classification in Autonomous Vehicles, IEEE International Conference on Intelligent Transportation Systems. Edmonton, Canada.
Diogo Wachtel, Thomas Rothmeier, Letícia Cristófoli Duarte, Martin Vossiek, Werner Huber, 2024, Simulation and Validation of Automotive Radar Performance with Water Spray over Radome. IEEE Sensors. Kobe, Japan.
Diogo Wachtel, Thomas Rothmeier, Tetmar von dem Bussche, Werner Huber, Martin Vossiek, 2024, Radar in the Rain: Understanding and Simulating Environmental Effects on ADAS, IEEE Radar Conference (RadarConf24). Denver, USA.
Thomas Rothmeier, Diogo Wachtel, Tetmar von dem Bussche-Hünnefeld, Werner Huber, 06/2023, I Had a Bad Day: Challenges of Object Detection in Bad Visibility Conditions, Anchorage, AK, 10.1109/IV55152.2023.10186674
D. Wachtel, J. Edler, S. Schröder, S. Queiroz and W. Huber, 10/2022, Convolutional Neural Network Classification of Vulnerable Road Users based on Micro-Doppler Signatures using an Automotive Radar, Macau, China, DOI:10.1109/ITSC55140.2022.9921852.
Wachtel Granado D., Schröder S., Reway F., Huber W., Vossiek M., 07/2021, Validation of a Radar Sensor Model under Non-Ideal Conditions for Testing Automated Driving Systems, 2021 IEEE Intelligent Vehicles Symposium (IV), Japan, pp. 83-89, DOI: 10.1109/IVWorkshops54471.2021.9669205
Diogo Wachtel Granado, Sabine Schröder, Fabio Reway, Werner Huber, Martin Vossiek; Validation of a Radar Sensor Model under Non-Ideal Conditions for Testing Automated Driving Systems, in 2021 IEEE Intelligent Vehicles (IV), 2021. (Approved/ to be published)
F. Reway, A. Hoffmann, D. Wachtel, W. Huber, A. Knoll und E. Ribeiro, „Test Method for Measuring the Simulation-to-Reality Gap of Camera-based Object Detection Algorithms for Autonomous Driving“, in 2020 IEEE Intelligent Vehicles (IV), 2020.
F. Reway, M. Drechsler, D. Wachtel und W. Huber, „Validity Analysis of Simulation-based Testing concerning Free-space Detection in Autonomous Driving“, in 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020.
Zimbico A.J. et al. (2019) Joint Adaptive Beamforming to Enhance Noise Suppression for Medical Ultrasound Imaging. In: Lhotska L., Sukupova L., Lacković I., Ibbott G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings
Granado, D.W., Zimbico, A.J., Maia, J.M., Assef, A.A, Schneider F.K., Costa, E.T. Comparison Between F-K Migration and Delay-And-Sum Methods on Plane Waves to Generate Power Doppler Images on A Small String of a Doppler Phantom, COBEC SEB, 2017
A. J. Zimbico et al., "Beam domain adaptive beamforming using generalized side lobe canceller with coherence factor for medical ultrasound imaging," 2017 IEEE International Ultrasonics Symposium (IUS), Washington, DC, 2017
Patente
WO2019129354A1: “Method for programming a field programmable gate array and network configuration”, December 28, 2017
WO2018130263A1: “Method of operating a unit in a daisy chain, communication unit and a system including a plurality of communication units”, January 11, 2017
