Lutz Eckstein

収録論文 26本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Learning-Based Behavior Planning for Automated Driving: Real-World Integration and Deployment
  2026/8/1
• Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment
  2026/5/1
• Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift
  2026/5/1
• Robust Fusion of Object-Level V2X for Learned 3D Object Detection
  2026/5/1
• A Five-Layer MLOps Architecture for Connected Automated Driving
  2026/5/1
• Integration of an Agent Model into an Open Simulation Architecture for Scenario-Based Testing of Automated Vehicles
  2026/5/1
• karl. -- A Research Vehicle for Automated and Connected Driving
  2026/2/1
• Requirement Identification for Traffic Simulations in Driving Simulators
  2025/10/1
• Integrated Wheel Sensor Communication using ESP32 -- A Contribution towards a Digital Twin of the Road System
  2025/9/1
• Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations
  2025/9/1
• Open-Source Tool Based Framework for Automated Performance Evaluation of an AD Function
  2024/6/1
• CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS
  2024/4/1
• Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems
  2024/4/1
• Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
  2024/1/1
• Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization
  2023/9/1
• RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS
  2023/8/1
• Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic
  2023/4/1
• Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data
  2022/11/1
• Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection
  2022/9/1
• A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping
  2021/2/1
• A Review of Testing Object-Based Environment Perception for Safe Automated Driving
  2021/2/1
• Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
  2020/12/1
• Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation
  2020/8/1
• The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
  2019/11/1
• Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework
  2019/4/1
• Deep, spatially coherent Occupancy Maps based on Radar Measurements
  2019/3/1