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Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility.

, , and . ITSC, page 2331-2336. IEEE, (2023)

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Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications., , , and . IV, page 1-7. IEEE, (2023)Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection., , , , and . IV, page 367-374. IEEE, (2022)Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess., , , , , , , , and . CoRR, (2021)High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups*., , , and . ITSC, page 1-8. IEEE, (2020)Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility., , and . ITSC, page 2331-2336. IEEE, (2023)Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps., , , and . ITSC, page 1311-1316. IEEE, (2022)Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation., , and . ITSC, page 1-8. IEEE, (2020)Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD., , , , , , , , , and 4 other author(s). CoRR, (2021)Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey., , , , and . ICVISP, page 9-17. IEEE, (2021)The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems., , , and . ITSC, page 2118-2125. IEEE, (2018)