Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Toth, Máté"'
Algorithms for mutual interference mitigation and object parameter estimation are a key enabler for automotive applications of frequency-modulated continuous wave (FMCW) radar. In this paper, we introduce a signal separation method to detect and esti
Externí odkaz:
http://arxiv.org/abs/2405.14319
Publikováno v:
2023 20th European Radar Conference (EuRAD) (pp. 135-138). IEEE
In automotive applications, frequency modulated continuous wave (FMCW) radar is an established technology to determine the distance, velocity and angle of objects in the vicinity of the vehicle. The quality of predictions might be seriously impaired
Externí odkaz:
http://arxiv.org/abs/2401.05385
In this paper we propose a new method for training neural networks (NNs) for frequency modulated continuous wave (FMCW) radar mutual interference mitigation. Instead of training NNs to regress from interfered to clean radar signals as in previous wor
Externí odkaz:
http://arxiv.org/abs/2312.09790
Autor:
Vamvourellis, Dimitrios, Toth, Máté, Bhagat, Snigdha, Desai, Dhruv, Mehta, Dhagash, Pasquali, Stefano
Identifying companies with similar profiles is a core task in finance with a wide range of applications in portfolio construction, asset pricing and risk attribution. When a rigorous definition of similarity is lacking, financial analysts usually res
Externí odkaz:
http://arxiv.org/abs/2308.08031
Categorization of mutual funds or Exchange-Traded-funds (ETFs) have long served the financial analysts to perform peer analysis for various purposes starting from competitor analysis, to quantifying portfolio diversification. The categorization metho
Externí odkaz:
http://arxiv.org/abs/2207.04959
Autor:
Szente, Laszlo, Balla, Gyula Y., Varga, Zoltan K., Toth, Blanka, Biro, Laszlo, Balogh, Zoltan, Hill, Matthew N., Toth, Mate, Mikics, Eva, Aliczki, Mano
Publikováno v:
In Neurobiology of Stress September 2024 32
Publikováno v:
In Psychiatry Research September 2024 339
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 4, pp. 927-940, June 2021
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. With a rising number of radar sensors and the so far unregulated automotive radar frequency band, mutual interference is inevitable and
Externí odkaz:
http://arxiv.org/abs/2201.10360
Publikováno v:
IEEE International Radar Conference 2021
Autonomous driving highly depends on capable sensors to perceive the environment and to deliver reliable information to the vehicles' control systems. To increase its robustness, a diversified set of sensors is used, including radar sensors. Radar is
Externí odkaz:
http://arxiv.org/abs/2105.00929
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous cars. Key performance factors are a fine range resolution and the possibility to directly measure velocity. With a rising number of radar sensors
Externí odkaz:
http://arxiv.org/abs/2012.02529