Jonas Fuchs

About Jonas Fuchs

Jonas Fuchs, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg,

His recent articles reflect a diverse array of research interests and contributions to the field:

Antenna Setup for Future Joint Radar-Communications–Characteristics and Mounting Positions

Hybride Deep Learning-Verfahren zur Interferenzunterdrückung und hochauflösenden Winkelschätzung für Automobilradaranwendungen

HARadNet: Anchor-free target detection for radar point clouds using hierarchical attention and multi-task learning

Full physical layer simulation tool to design future 77 GHz JCRS-applications

High-resolution direction-of-arrival estimation using distributed radar sensors

A machine learning perspective on automotive radar direction of arrival estimation

Bayesradar: Bayesian Metric-Kalman filter learning for improved and reliable radar target classification

Evaluation of different antenna positions for joint radar-communication at 77 GHz

Jonas Fuchs Information

University

Position

___

Citations(all)

463

Citations(since 2020)

455

Cited By

88

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Top articles of Jonas Fuchs

Antenna Setup for Future Joint Radar-Communications–Characteristics and Mounting Positions

Advances in radio science

2023/3/21

Hybride Deep Learning-Verfahren zur Interferenzunterdrückung und hochauflösenden Winkelschätzung für Automobilradaranwendungen

2022/12/15

Jonas Fuchs
Jonas Fuchs

H-Index: 6

HARadNet: Anchor-free target detection for radar point clouds using hierarchical attention and multi-task learning

Machine Learning with Applications

2022/6/15

Full physical layer simulation tool to design future 77 GHz JCRS-applications

IEEE Access

2022/4/28

High-resolution direction-of-arrival estimation using distributed radar sensors

1994/4/19

A machine learning perspective on automotive radar direction of arrival estimation

IEEE access

2022/1/7

Jonas Fuchs
Jonas Fuchs

H-Index: 6

Maximilian Lübke
Maximilian Lübke

H-Index: 3

Bayesradar: Bayesian Metric-Kalman filter learning for improved and reliable radar target classification

2021/10/25

Evaluation of different antenna positions for joint radar-communication at 77 GHz

2021/9/28

Validation and analysis of the propagation channel at 60 GHz for vehicular communication

2021/9/27

Integrated classification and localization of targets using Bayesian framework in automotive radars

2021/6/6

A bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars

IEEE access

2021/5/5

Effects of target displacement on single-snapshot DOA estimation in automotive radar

2021/1/17

Jonas Fuchs
Jonas Fuchs

H-Index: 6

An approach to over-the-air synchronization of commercial chirp-sequence automotive radar sensors

2020/1/26

Jonas Fuchs
Jonas Fuchs

H-Index: 6

Uncertainty analysis of deep neural network for classification of vulnerable road users using micro-doppler

2020/1/26

Jonas Fuchs
Jonas Fuchs

H-Index: 6

Robert Weigel
Robert Weigel

H-Index: 2

Channel characterization at 77 GHz for vehicular communication

2020/12/16

Combining radar and communication at 77 GHz using a CDMA technique

2020/11/23

Region based single-stage interference mitigation and target detection

2020/9/21

Learning representations for neural networks applied to spectrum-based direction-of-arrival estimation for automotive radar

2020/8/4

Maximilian Gall
Maximilian Gall

H-Index: 0

Jonas Fuchs
Jonas Fuchs

H-Index: 6

Simulation environment of a communication system using CDMA at 77 GHz

2020/6/15

See List of Professors in Jonas Fuchs University(Friedrich-Alexander-Universität Erlangen-Nürnberg)