Christopher Lang

	PhD Student
	Postal address:	Robert Bosch GmbH XC-AS/EAS Heßbrühlstraße 21B, D-70565 Stuttgart, Germany
	Office:	External
	Email:	fixed-term.christopher.lang@de.bosch.com

About me

• 11/2020 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
• 10/2017 - 09/2020: M.Sc. in Robotics Cognition, Intelligence, Technical University Munich
• 09/2012 - 08/2016: B.Eng. in Electrical Engineering and Information Technology, Konstanz University of Applied Sciences

Research Interests

• Self-Supervised Learning
• Trajectory Prediction
• Scene Graph Generation

Current Research Projects

• Self-Supervised Relational Scene Graph Generation in Traffic Scenarios

Publications

2024

• Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada,
  A Point-Based Approach to Efficient LiDAR Multi-Task Perception
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  

• Christopher Lang, Alexander Braun, Lars Schillingmann, Karsten Haug and Abhinav Valada
  Self-Supervised Representation Learning From Temporal Ordering of Automated Driving Sequences
  IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2582-2589, March 2024, DOI: 10.1109/LRA.2024.3354552, 2024.

2023

• Christopher Lang, Alexander Braun, Lars Schillingmann and Abhinav Valada
  Self-Supervised Multi-Object Tracking for Autonomous Driving From Consistency Across Timescales
  IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7711-7718, Nov. 2023, DOI: 10.1109/LRA.2023.3322089, 2023.

2022

• Christopher Lang, Alexander Braun, Lars Schillingmann and Abhinav Valada
  On Hyperbolic Embeddings in Object Detection
  GCPR-VMV 2022, DOI:10.1007/978-3-031-16788-1_28, 2022.
• Christopher Lang, Alexander Braun and Abhinav Valada
  Robust Object Detection Using Knowledge Graph Embeddings
  GCPR-VMV 2022, DOI:10.1007/978-3-031-16788-1_27, 2022.