Foto von Leah Strand

M.Sc. Leah Strand

House Mail: Schleißheimer Straße 90a

Technische Universität München

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)


Boltzmannstr. 3
85748 Garching b. München


Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Schleißheimerstraße 90a(8111)
85748 Garching b. München

Curriculum Vitae

In March 2020, Leah Strand joined the Chair of Robotics, Artificial Intelligence and Real-time Systems at the TUM as a research assistant and a PhD candidate. She received her Master’s degree in Mechatronics and Information Technology from the TUM after finishing her Bachelor’s degree in Engineering Science at the TUM.

She is currently working in the Providentia++ project with the goal of creating a real-time digital twin of the traffic on the Autobahn A9.

Research Interests

Autonomous Driving, Multi-Object Tracking, Sensor Calibration and Fusion

Open Thesis and Project Topics

If you are interested in autonomous driving, tracking, sensor fusion or calibration then please send me an e-mail and attach your CV and transcript of records.



  • Creß, Christian; Zimmer, Walter; Purschke, Nils; Doan, Bach Ngoc; Kirchner, Sven; Lakshminarasimhan, Venkatnarayanan; Strand, Leah; Knoll, Alois C.: TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras, 2024 mehr…


  • Creß, Christian; Zimmer, Walter; Strand, Leah; Fortkord, Maximilian; Dai, Siyi; Lakshminarasimhan, Venkatnarayanan; Knoll, Alois: A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research. 33rd IEEE Intelligent Vehicles Symposium (IV), 2022 mehr…
  • Strand, Leah; Honer, Jens; Knoll, Alois: Systematic Error Source Analysis of a Real-World Multi-Camera Traffic Surveillance System. 25th International Conference on Information Fusion (FUSION 2022), 2022 mehr…