Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sreehari Buddappagari Jayapal Gowdu"'
Evaluation of scenario-based automotive radar testing in virtual environment using real driving data
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Monostatic RCS Measurements of Representative Road Traffic Objects in the 76 … 81 GHz Frequency Band
Publikováno v:
2020 IEEE Radar Conference (RadarConf20).
Quantitative knowledge of the radar cross-section of road traffic objects is a critical input for the design and performance evaluation of automotive radar systems in terms of target detection, discrimination, and tracking. Moreover, it has to be emu
Publikováno v:
2019 49th European Microwave Conference (EuMC).
The radar cross-section of a target is a critical parameter for evaluating the performance of an automotive radar in terms of target detection, discrimination, and tracking. Furthermore, it has to be emulated accurately when applied in an over-the-ai
Autor:
Muhammad Ehtisham Asghar, Sreehari Buddappagari Jayapal Gowdu, J. Nagel, Ralf Stephan, Matthias Hein, M. Rozmann
Publikováno v:
2018 International Conference on Electromagnetics in Advanced Applications (ICEAA).
Realistic simulation of automotive radar target objects is necessary for reliable testing of a radar in a controlled environment. A radar target simulator uses antennas to reproduce the target signatures over the air to the radar under test. Before w
Autor:
Florian Baumgartner, Johannes Nagel, Ralf Stephan, Sreehari Buddappagari Jayapal Gowdu, Matthias Hein, Muhammad Ehtisham Asghar
Publikováno v:
2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).
Automotive radar at 77 GHz is a key technology for the implementation of autonomous driving. The sensors and the systems associated with it are traditionally tested using real test drives that span several millions of kilometres. However, these test