Jonas Fuchs
Orcid: 0000-0002-4846-6374
According to our database1,
Jonas Fuchs
authored at least 16 papers
between 2018 and 2022.
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Bibliography
2022
IEEE Access, 2022
IEEE Access, 2022
Proceedings of the 2022 IEEE Radio and Wireless Symposium, 2022
2021
A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars.
IEEE Access, 2021
Effects of Target Displacement on Single-Snapshot DOA Estimation in Automotive Radar.
Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2021
Validation and Analysis of the Propagation Channel at 60 GHz for Vehicular Communication.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
Bayesradar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars.
Proceedings of the IEEE International Conference on Acoustics, 2021
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3.
Proceedings of the 24th Euromicro Conference on Digital System Design, 2021
2020
An Approach to Over-the-air Synchronization of Commercial Chirp-Sequence Automotive Radar Sensors.
Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2020
Uncertainty Analysis of Deep Neural Network for Classification of Vulnerable Road Users using micro-Doppler.
Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2020
Proceedings of the IEEE Vehicular Networking Conference, 2020
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020
2019
Model Order Estimation Using a Multi-Layer Perceptron for Direction-of-Arrival Estimation in Automotive Radar Sensors.
Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2019
2018
A Multi-Layer Perceptron Applied to number of target Indication for direction-of-arrival estimation in Automotive radar Sensors.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018