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Books and Theses
- 2022
[b1]Anand Dubey:
Bayesian Architecture and Learning Algorithms for Recognition of Vulnerable Road Users using Automotive Radar. University of Erlangen-Nuremberg, Germany, 2022
Journal Articles
- 2022
- [j3]Jonas Fuchs
, Markus Gardill, Maximilian Lübke, Anand Dubey, Fabian Lurz:
A Machine Learning Perspective on Automotive Radar Direction of Arrival Estimation. IEEE Access 10: 6775-6797 (2022) - [j2]Maximilian Lübke, Yanpeng Su, Athira J. Cherian, Jonas Fuchs, Anand Dubey, Robert Weigel, Norman Franchi:
Full Physical Layer Simulation Tool to Design Future 77 GHz JCRS-Applications. IEEE Access 10: 47437-47460 (2022) - 2021
- [j1]Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz:
A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars. IEEE Access 9: 68758-68777 (2021)
Conference and Workshop Papers
- 2022
- [c10]Anand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey:
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. ICMLA 2022: 1281-1288 - [c9]Jonas Fuchs, Alexander Kasper, Maximilian Lübke, Anand Dubey, Fabian Lurz:
High-Resolution Direction-of-Arrival Estimation using Distributed Radar Sensors. RWS 2022: 53-56 - 2021
- [c8]Norbert Druml, Anna Ryabokon, Rupert Schorn, Jochen Koszescha, Kaspars Ozols, Aleksandrs Levinskis, Rihards Novickis, Ethiopia Nigussie, Jouni Isoaho, Selim Solmaz, Georg Stettinger, Sergio E. Diaz, Mauricio Marcano, Jorge Villagra, Juan Medina, Martina Schwarz, Antonio Artuñedo, Mauro Comi, Rutger Beekelaar, Onur Özçelik, Elif Aksu Tasdelen, Yesim Gürbüz, Jan Saijets, Jukka Kyynäräinen, Dmitry Morits, Björn Debaillie, Maxim Rykunov, Joan Escamilla, Jarno Vanne, Tomi Korhonen, Kalle Holma, Eva-Maria Matzhold, Carlo Novara, Fabio Tango, Paolo Burgio, Giuseppe Calafiore, Milad Karimshoushtari, Emilie Boulay, Miguel Dhaens, Kylian Praet, Han Zwijnenberg, Henri Palm, David Aledo Ortega, Ercan Kalali, Tuomas Pensala, Arto Kyytinen, Morten Larsen, Omar Veledar, Georg Macher, Michael Lafer, Lorenzo Giraudi, Jakob Reckenzaun, Daniel Hammer, Naveen Mohan, Josef Schmid, Alfred Höß, Shai Ophir, Anand Dubey, Jonas Fuchs, Maximilian Lübke, Andrei Anghel, Nicolae-Catalin Ristea, Martin Törngren, Alua Musralina, Marlene Harter, Joseena Memadathil Jose, George Dimitrakopoulos:
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3. DSD 2021: 268-277 - [c7]Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz:
Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars. ICASSP 2021: 4060-4064 - [c6]Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz:
Bayesradar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification. MLSP 2021: 1-6 - [c5]Maximilian Lübke, Jonas Fuchs, Anand Dubey, Hussein Hamoud, Falko Dressler, Robert Weigel, Fabian Lurz:
Validation and Analysis of the Propagation Channel at 60 GHz for Vehicular Communication. VTC Fall 2021: 1-7 - 2020
- [c4]Norbert Druml, Björn Debaillie, Andrei Anghel, Nicolae-Catalin Ristea, Jonas Fuchs, Anand Dubey, Torsten Reißland, Maike Hartstem, Viktor Rack, Anna Ryabokon, Kaspars Ozols, Rihards Novickis, Aleksandrs Levinskis, Omar Veledar, Georg Macher, Johannes Jany-Luig, Selim Solmaz, Jakob Reckenzaun, Naveen Mohan, Shai Ophir, Georg Stettinger, Sergio E. Diaz, Mauricio Marcano, Jorge Villagra, Andrea Castellano, Rutger Beekelaar, Fabio Tango, Jarno Vanne, Kalle Holma, Oguz Icoglu, George Dimitrakopoulos:
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2. DSD 2020: 360-369 - [c3]Maximilian Lübke, Jonas Fuchs, Victor Shatov, Anand Dubey, Robert Weigel, Fabian Lurz:
Simulation Environment of a Communication System Using CDMA at 77 GHz. IWCMC 2020: 1946-1951 - [c2]Maximilian Lübke, Hussein Hamoud, Jonas Fuchs, Anand Dubey, Robert Weigel, Fabian Lurz:
Channel Characterization at 77 GHz for Vehicular Communication. VNC 2020: 1-4 - [c1]Anand Dubey, Jonas Fuchs, Torsten Reissland, Robert Weigel, Fabian Lurz:
Uncertainty Analysis of Deep Neural Network for Classification of Vulnerable Road Users using micro-Doppler. WiSNet 2020: 23-26
Informal and Other Publications
- 2022
- [i2]Arnab Neelim Mazumder, Niall Lyons, Anand Dubey, Ashutosh Pandey, Avik Santra:
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning. CoRR abs/2211.01413 (2022) - [i1]Anand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey:
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. CoRR abs/2211.03451 (2022)
Coauthor Index
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