Johanna Gleichauf
Papers
2
Total Citations
17
H-Index
2
About
Johanna Gleichauf is a robotics researcher specializing in sensor fusion for autonomous systems, with a particular focus on enhancing perception in challenging, low-visibility environments. Her work centers on integrating diverse sensor modalities—such as 2D laser scanners and thermal cameras—to improve the robustness of localization and object detection. In her most-cited paper, "Sensor Fusion Approach for an Autonomous Shunting Locomotive" (2019, 11 citations), Gleichauf demonstrates how combining multiple sensors enables reliable autonomous navigation in complex industrial settings. Her earlier study, "Sensor Fusion of a 2D Laser Scanner and a Thermal Camera" (2017, 6 citations), addresses the critical challenge of victim detection during search-and-rescue operations, where smoke, dust, or darkness can impair conventional sensors. By fusing distance measurements from laser scanners with thermal imaging data, she significantly increases detection accuracy and system resilience. Gleichauf’s contributions are particularly impactful for the fields of autonomous rail transport and emergency robotics, where safety and reliability are paramount. Her work exemplifies how thoughtful sensor integration can overcome the limitations of individual technologies, paving the way for more capable and trustworthy autonomous systems in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Sensor Fusion Approach for an Autonomous Shunting Locomotive11 citations · 2019
- 2Sensor Fusion of a 2D Laser Scanner and a Thermal Camera6 citations · 2017