Lanelets: Efficient map representation for autonomous driving

• SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

  2024 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

  3

  citations
• Towards Conceptually Elevating Modern Concepts of Operational Design Domains and Implications for Operating in Unstructured Environments

  2024 Communications in computer and information science conference-paper Engineering Autonomous Vehicle Technology and Safety

  0

  citations
• Towards a Lifelong Mapping Approach Using Lanelet 2 for Autonomous Open-Pit Mine Operations

  2023 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Engineering Robotics and Sensor-Based Localization

  3

  citations
• CPM Olympics: Development of Scenarios for Benchmarking in Networked and Autonomous Driving

  2022 IEEE Intelligent Vehicles Symposium conference-paper Engineering Autonomous Vehicle Technology and Safety

  5

  citations
• CPM Olympics: Development of Scenarios for Benchmarking in Networked and Autonomous Driving

  2022 preprint Engineering Autonomous Vehicle Technology and Safety Open access

  1

  citations
• CPM Olympics: Development of Scenarios for Benchmarking in Networked and Autonomous Driving

  2022 preprint Engineering Autonomous Vehicle Technology and Safety Open access

  3

  citations
• Cyber-Physical Mobility Lab: An Open-Source Platform for Networked and Autonomous Vehicles

  2021 European Control Conference (ECC) conference-paper Engineering Traffic control and management Open access

  70

  citations
• Fahrerassistenzsysteme und Automatisiertes Fahren

  2021 Springer eBooks book-chapter Engineering Autonomous Vehicle Technology and Safety

  8

  citations

8 results