Active Autonomous Aerial Exploration for Ground Robot Path Planning. - Jeffrey A. Delmerico; Elias Mueggler; Julia Nitsch; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2017)

3D Ground Point Classification for Automotive Scenarios. - Julia Nitsch; Julio Aguilar; Juan I. Nieto 001; Roland Siegwart; Max Schmidt; Cesar Cadena 001 (ITSC, 2018)

Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning. - Leo Stanislas; Julian Nubert; Daniel Dugas; Julia Nitsch; Niko Sünderhauf; Roland Siegwart; César Cadena 001; Thierry Peynot (FSR, 2019)

Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures. - Julia Nitsch; Juan I. Nieto 001; Roland Siegwart; Max Schmidt; Cesar Cadena 001 (ICRA, 2019)

Learning Common and Transferable Feature Representations for Multi-Modal Data. - Julia Nitsch; Juan I. Nieto 001; Roland Siegwart; Max Schmidt; Cesar Cadena 001 (IV, 2020)

Out-of-Distribution Detection for Automotive Perception. - Julia Nitsch; Masha Itkina; Ransalu Senanayake; Juan I. Nieto 001; Max Schmidt; Roland Siegwart; Mykel J. Kochenderfer; Cesar Cadena 001 (ITSC, 2021)

Classification of Road Users and Roadside Infrastructure using Multi-Modal Sensor Input. - Julia Nitsch (2021)