Christoph Stiller
Scholar

Christoph Stiller

Google Scholar ID: OeAQ2c0AAAAJ
Professor of Measurement and Control Systems, Karlsruher Institut für Technologie, KIT, FZI
intelligent vehiclesautonomous drivingautonomous vehiclesintelligent transportation systems
Citations & Impact
All-time
Citations
19,475
 
H-index
49
 
i10-index
127
 
Publications
20
 
Co-authors
40
list available
Resume (English only)
Academic Achievements
  • Robust Traffic Light Detection and Stopline Release by Map Association, tm - Technisches Messen, 2025
  • In Memory of Prof. em. Dr.-Ing. Franz Mesch, at - Automatisierungstechnik, 2024
  • Image Stitching Using Gradual Image Warping in Autonomous Driving, Forum Bildverarbeitung 2024
  • Robust Traffic Light Detection and Stopline Release by Map Association for Automated Driving, Forum Bildverarbeitung 2024
  • Vehicle Intention Classification Using Visual Clues, 2024 IEEE International Conference on Robotics and Automation (ICRA)
  • Test-Driven Inverse Reinforcement Learning Using Scenario-Based Testing, 2024 IEEE Intelligent Vehicles Symposium (IV)
  • Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior, 2024 IEEE Intelligent Vehicles Symposium (IV)
  • Panoptic Segmentation from Stitched Panoramic View for Automated Driving, 2024 IEEE Intelligent Vehicles Symposium (IV)
  • Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Research Experience
  • Professor, Dr.-Ing.; works at the Karlsruhe Institute of Technology (KIT) in the Institute for Measurement and Control Technology.
Background
  • Head of the Institute for Measurement and Control Technology; research interests include perception and scene understanding, multi-sensor calibration, localization and mapping, decision making and trajectory planning, railway traffic.
Miscellany
  • Office hours: Summer semester: Monday 12:00-13:00 (please register in advance); Winter semester: Tuesday 15:00-16:00 (please register in advance).