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Technische Universität München
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)

Postadresse

Boltzmannstr. 3
85748 Garching b. München

Dienstort

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.

Publications

2026

  • Müller, Fabian; Raslan, Mouhamed; Liu, Mingyu; Oikonomopoulos, Christos; Schmidhammer, Martin; Rashdan, Ibrahim; Merk, Benedikt; Kulke, Reinhard; Strand, Leah; Lakshminarasimhan, Venkatnarayanan; Uhlich, Tobias; Becker, Andreas; Sand, Stephan; Knoll, Alois: A Multi-Modal UWB-Radar-Camera Dataset for Vulnerable-Road-User Sensing at Urban Intersections. 2026 IEEE 103rd Vehicular Technology Conference (VTC2026-Spring), 2026 mehr…

2025

  • Jiajie Zhang, Mingyu Liu, Xingcheng Zhou, Walter Zimmer, Christian Creß, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll: TUMTraf CrossVision: A Multi-View Multi-Modal Vision Dataset for Arterial Intersection Traffic Surveillance. IEEE International Conference on Vehicular Electronics and Safety 2025 (ICVES'25), 2025 mehr…
  • Liu, Mingyu; Cui, Yuning; Liu, Xin; Strand, Leah; Yin, Huilin; Knoll, C. Alois: DRFIR: A Dimensionality Reduction Framework for All-in-One Image Restoration in Spatial and Frequency Domains. Expert Systems with Applications, 2025 mehr…
  • Liu, Mingyu; Cui, Yuning; Strand, Leah; Zhou, Xingcheng; Zhang, Jiajie; Knoll, C. Alois: MambaSFLNet: A Mamba-Based Model for Low-Light Image Enhancement with Spatial and Frequency Features. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 mehr…
  • Liu, Mingyu; Xu, Jiong; Cui, Yuning; Hu, Xiaobin; Strand, Leah; Yin, Huilin; Knoll, Alois C: ILVMamba: Illumination-Aware Lightweight Visual Mamba Framework for Efficient High-Resolution Image Enhancement. IEEE Transactions on Artificial Intelligence, 2025 mehr…
  • Zhou, Xingcheng; Larintzakis, Konstantinos; Guo, Hao; Zimmer, Walter; Liu, Mingyu; Cao, Hu; Zhang, Jiajie; Lakshminarasimhan, Venkatnarayanan; Strand, Leah; Knoll, Alois C: TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes. International Conference on Machine Learning (ICML) , 2025 mehr…

2024

  • 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. IEEE Transactions on Intelligent Vehicles 9 (7), 2024, 5186 - 5203 mehr…
  • Eriksson, Elin; Bronzi, Walter; Strand, Leah; Knoll, Alois: Poster: Identifying Multipath in Phase-Based Ranging Measurements Using Channel Sounding. 2024 IEEE Vehicular Networking Conference (VNC), IEEE, 2024, 271-272 mehr…
  • Strand, Leah; Bruckner, Marcel; Lakshminarasimhan, Venkatnarayanan; Knoll, Alois: An Online Self-Correcting Calibration Architecture for Multi-Camera Traffic Localization Infrastructure. 2024 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2024, 1666-1671 mehr…
  • Strand, Leah; Honer, Jens; Knoll, Alois: Joint Vehicle Pose and Extent Estimation in the Context of Multi-Camera Traffic Surveillance. 2024 27th International Conference on Information Fusion (FUSION), 2024 mehr…
  • Zhou, Xingcheng; Fu, Deyu; Zimmer, Walter; Liu, Mingyu; Lakshminarasimhan, Venkatnarayanan; Strand, Leah; Knoll, Alois: WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection. 2024 IEEE International Intelligent Transportation Systems Conference (ITSC), 2024 mehr…

2023

  • Strand, Leah; Honer, Jens; Knoll, Alois: Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems. 2023 26th International Conference on Information Fusion (FUSION), IEEE, 2023, 1-8 mehr…
  • Strand, Leah; Honer, Jens; Knoll, Alois: Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems. 2023 26th International Conference on Information Fusion (FUSION), IEEE, 2023 mehr…

2022

  • 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…
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