Speakers:
Energy-Efficient Driving Strategies with Reinforcement Learning for the Deutsche Bahn
Date:
Monday, November 18, 2024
Time:
10:45 am
Track:
Summary:
Train drivers have different driving styles which require different amount of energy. These different styles are difficult to analyze to define an energy-efficient driving strategy. We present a reinforcement learning approach that learns to drive long-distance trains more energy-efficient while maintaining punctuality and safety. The method was used by DB Fernverkehr on a test-drive and showed an unexpected driving strategy that was very energy-efficient and material friendly.
Speakers:
Visual Intelligence at Ridecell: Harnessing Dashcam Data for Smarter Fleet Telematics
Date:
Monday, November 18, 2024
Time:
11:15 am
Track:
Summary:
In fleet telematics, extracting scenarios from dashcam data is key for improving safety and efficiency. Our talk focuses on developing a Perception-scenario extraction pipeline using a single-camera system for object detection and depth estimation. We’ll cover challenges like occlusion and scale regression, and share solutions for accurate modeling. We also highlight the versatility of our techniques across domains, enhancing applications in surveillance, autonomous vehicles, and robotics.