Automated 3D Object Reference Generation for the Evaluation of Autonomous Vehicle Perception. - Robin Philipp; Zhijing Zhu; Julian Fuchs; Lukas Hartjen; Fabian Schuldt; Falk Howar (ICSRS, 2021)

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)

Systematization of Relevant Road Users for the Evaluation of Autonomous Vehicle Perception. - Robin Philipp; Jana Rehbein; Felix Grün; Lukas Hartjen; Zhijing Zhu; Fabian Schuldt; Falk Howar (SysCon, 2022)

A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed. - Ying Xue; Jiazhu Zhu; Xiaoling Huang; Xiaobin Xu; Xiaojing Li; Yameng Zheng; Zhijing Zhu; Kai Jin; Juan Ye; Wei Gong; Ke Si (J. Biomed. Informatics, 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)