Robust and Reliable Bionic Optimization of Nonlinear Control Problems. - Lukas Haas; Rolf Steinbuch (ISDA, 2016)

Untersuchung von Open-Source-Mängelmeldern für den Einsatz in einer Kommunalverwaltung / Evaluation of Open Source Public Service Concerns Reporting Systems. - Lukas Haas; Florian Knoch (AGIT Journal Angew. Geoinformatik, 2022)

Estimating Building Energy Efficiency From Street View Imagery, Aerial Imagery, and Land Surface Temperature Data. - Kevin Mayer; Lukas Haas (CoRR, 2022)

Development of High-Fidelity Automotive LiDAR Sensor Model with Standardized Interfaces. - Arsalan Haider; Marcell Pigniczki; Michael H. Köhler; Maximilian Fink; Michael Schardt; Yannik Cichy; Thomas Zeh; Lukas Haas; Tim Poguntke; Martin Jakobi; Alexander W. Koch (Sensors, 2022)

Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization. - Lukas Haas; Silas Alberti; Michal Skreta (CoRR, 2023)

PIGEON: Predicting Image Geolocations. - Lukas Haas; Michal Skreta; Silas Alberti (CoRR, 2023)

Performance Evaluation of MEMS-Based Automotive LiDAR Sensor and Its Simulation Model as per ASTM E3125-17 Standard. - Arsalan Haider; Yongjae Cho; Marcell Pigniczki; Michael H. Köhler; Lukas Haas; Ludwig Kastner; Maximilian Fink; Michael Schardt; Yannik Cichy; Shotaro Koyama; Thomas Zeh; Tim Poguntke; et al. (Sensors, 2023)

A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors. - Arsalan Haider; Marcell Pigniczki; Shotaro Koyama; Michael H. Köhler; Lukas Haas; Maximilian Fink; Michael Schardt; Koji Nagase; Thomas Zeh; Abdulkadir Eryildirim; Tim Poguntke; Hideo Inoue; et al. (Sensors, 2023)

Velocity Estimation from LiDAR Sensors Motion Distortion Effect. - Lukas Haas; Arsalan Haider; Ludwig Kastner; Thomas Zeh; Tim Poguntke; Matthias Kuba; Michael Schardt; Martin Jakobi; Alexander W. Koch (Sensors, 2023)

PIGEON: Predicting Image Geolocations. - Lukas Haas; Michal Skreta; Silas Alberti; Chelsea Finn (CVPR, 2024)

A Methodology for Verifying and Validating the Functional Performance Evaluation of High-Fidelity RADAR Sensor Models at Raw Data and Detection Levels. - Arsalan Haider; Lukas Haas; Abdulkadir Eryildirim; Thomas Zeh; Shotaro Koyama; Nils Henning Müllner; Martin Jakobi; Alexander W. Koch (ICVISP, 2024)

VelObPoints: a Neural Network for Vehicle Object Detection and Velocity Estimation for Scanning LiDAR Sensors. - Lukas Haas; Nico Leuze; Arsalan Haider; Matthias Kuba; Thomas Zeh; Alfred Schöttl; Martin Jakobi; Alexander W. Koch (IEEE SENSORS, 2024)

Modeling of Motion Distortion Effect of Scanning LiDAR Sensors for Simulation-Based Testing. - Arsalan Haider; Lukas Haas; Shotaro Koyama; Lukas Elster; Michael H. Köhler; Michael Schardt; Thomas Zeh; Hideo Inoue; Martin Jakobi; Alexander W. Koch (IEEE Access, 2024)

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input. - Alon Jacovi; Andrew Wang; Chris Alberti; Connie Tao; Jon Lipovetz; Kate Olszewska; Lukas Haas; Michelle Liu; Nate Keating; Adam Bloniarz; Carl Saroufim; Corey Fry; et al. (CoRR, 2025)