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2020 – today
- 2021
[b1]Julia Nitsch:
Classification of Road Users and Roadside Infrastructure using Multi-Modal Sensor Input. ETH Zurich, Zürich, Switzerland, 2021- [c5]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
:
Out-of-Distribution Detection for Automotive Perception. ITSC 2021: 2938-2943 - 2020
- [c4]Julia Nitsch, Juan I. Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena:
Learning Common and Transferable Feature Representations for Multi-Modal Data. IV 2020: 1601-1607 - [i1]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. CoRR abs/2011.01413 (2020)
2010 – 2019
- 2019
- [c3]Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, César Cadena, Thierry Peynot:
Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning. FSR 2019: 395-410 - [c2]Julia Nitsch, Juan I. Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena:
Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures. ICRA 2019: 4369-4375 - 2018
- [c1]Julia Nitsch, Julio Aguilar, Juan I. Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena:
3D Ground Point Classification for Automotive Scenarios. ITSC 2018: 2603-2608 - 2017
- [j1]Jeffrey A. Delmerico, Elias Mueggler, Julia Nitsch, Davide Scaramuzza:
Active Autonomous Aerial Exploration for Ground Robot Path Planning. IEEE Robotics Autom. Lett. 2(2): 664-671 (2017)
Coauthor Index
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