Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ernst Warsitz"'
Autor:
Aitor Correas-Serrano, Maria Gonzalez-Huici, Renato Simoni, Tobias Bredderman, Ernst Warsitz, Thomas Muller, Oliver Kirsch
Publikováno v:
2022 23rd International Radar Symposium (IRS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4edcd1a83cc1927e82a4fa14f8631e46
https://doi.org/10.23919/irs54158.2022.9904987
https://doi.org/10.23919/irs54158.2022.9904987
Autor:
Christian Westhues, Tobias Breddermann, Andreas von Rhein, Subodh Kurkute, Tai Fei, Ernst Warsitz
Publikováno v:
2022 IEEE Radar Conference (RadarConf22).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33998ef07fa67181a25f5eea8cadb64
https://doi.org/10.1109/radarconf2248738.2022.9764268
https://doi.org/10.1109/radarconf2248738.2022.9764268
Publikováno v:
2020 17th European Radar Conference (EuRAD).
In this paper, a computationally efficient approach called block Kronecker compressed sensing (BKCS) algorithm is proposed to mitigate the mutual interference between two automotive radar systems in a 2-dimensional (2D) compressed sensing framework.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af8b2344d21127dca0ba8375c1c6919
https://doi.org/10.1109/eurad48048.2021.00077
https://doi.org/10.1109/eurad48048.2021.00077
Autor:
Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach
We present an approach to automatically generate semantic labels for real recordings of automotive range-Doppler (RD) radar spectra. Such labels are required when training a neural network for object recognition from radar data. The automatic labelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cfcdece8ffceb83e348a1d1954fe53d
http://arxiv.org/abs/2012.12809
http://arxiv.org/abs/2012.12809
Publikováno v:
2020 IEEE International Radar Conference (RADAR).
In this paper, a multi-feature encoder for gesture recognition based on a 60 GHz frequency-modulated continuous wave (FMCW) radar system is proposed to extract the gesture characteristics, i.e., range, Doppler, azimuth and elevation, from the low-lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ec5e59f2399c94d63037222ffae88d4
https://doi.org/10.1109/radar42522.2020.9114664
https://doi.org/10.1109/radar42522.2020.9114664
In this paper, a real-time signal processing frame-work based on a 60 GHz frequency-modulated continuous wave (FMCW) radar system to recognize gestures is proposed. In order to improve the robustness of the radar-based gesture recognition system, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2afa7a1b97f64b0fafa3dacc43b50f3
Autor:
Tai Fei, Ernst Warsitz, Christopher Grimm, Tobias Breddermann, Ridha Farhoud, Reinhold Haeb-Umbach
Publikováno v:
2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).
In this paper, we present a neural network based classification algorithm for the discrimination of moving from stationary targets in the sight of an automotive radar sensor. Compared to existing algorithms, the proposed algorithm can take into accou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::221f9080c0336a9885b33da6c30d242f
https://doi.org/10.1109/icmim.2018.8443525
https://doi.org/10.1109/icmim.2018.8443525
Autor:
Christopher Grimm, Ridha Farhoud, Tai Fei, Ernst Warsitz, Reinhold Haeb-Umbach, Tobias Breddermann
Publikováno v:
2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).
In this paper, we present a hypothesis test for the classification of moving targets in the sight of an automotive radar sensor. For this purpose, a statistical model of the relative velocity between a stationary target and the radar sensor has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fddd757bc328faf090205eff44a54fde
https://doi.org/10.1109/comcas.2017.8244774
https://doi.org/10.1109/comcas.2017.8244774
Autor:
Ernst Warsitz, Reinhold Hab-Umbach, Tai Fei, Tobias Breddermann, Christopher Grimm, Ridha Farhoud
Publikováno v:
2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).
In this paper, we apply a high-resolution approach, i.e. the matrix pencil method (MPM), to the FMCW automotive radar system to separate the neighboring targets, which share similar parameters, i.e. range, relative speed and azimuth angle, and cause
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a86a1e2b8135432cd884800e8520508
https://doi.org/10.1109/comcas.2017.8244791
https://doi.org/10.1109/comcas.2017.8244791
Publikováno v:
2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).
In this paper we present an algorithm for the detection of moving targets in sight of an automotive radar sensor which can handle distorted ego-velocity information. In situations where biased or none velocity information is provided from the ego-veh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffa78e3241187d0e399fd7cb92de5bf8
https://doi.org/10.1109/mrrs.2017.8075040
https://doi.org/10.1109/mrrs.2017.8075040