GRAIL: A Gradients-of-Intensities-based Local Descriptor for Map-based Localization Using LiDAR Sensors. - Constanze Hungar; Sara Brakemeier; Stefan Jürgens; Frank Köster (ITSC, 2019)

Detection of Feature Areas for Map-based Localization Using LiDAR Descriptors. - Constanze Hungar; Jenny Fricke; Stefan Jürgens; Frank Köster (WPNC, 2019)

Map-Based Localization with Factor Graphs for Automated Driving using Non-Semantic LiDAR Features. - Constanze Hungar; Stefan Jürgens; Daniel Wilbers; Frank Köster (ITSC, 2020)

Systematization and Identification of Triggering Conditions: A Preliminary Step for Efficient Testing of Autonomous Vehicles. - Zhijing Zhu; Robin Philipp; Constanze Hungar; Falk Howar (IV, 2022)

Automatic Disengagement Scenario Reconstruction Based on Urban Test Drives of Automated Vehicles. - Zhijing Zhu; Robin Philipp; Yongqi Zhao; Constanze Hungar; Jürgen Pannek; Falk Howar (IV, 2023)

Identifying Difficult Environmental Conditions with Scenario-Based Hazard and Fault Analysis. - Zhijing Zhu; Robin Philipp; Constanze Hungar; Falk Howar (SAFECOMP (Workshops), 2024)