Ergebnisse für: HD maps
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This dissertation examines the evaluation of high-definition maps using LiDAR point clouds as sensor data and deep neural networks (DNNs). The developed methods are suitable for both automated driving and geodesy. By utilizing the map as an additional input, the DNN can verify the map even under adv...
This volume constitutes the revised selected papers of 3rd CCF Intelligent Vehicles Symposium, CIVS 2025, in Hangzhou, China, during August 16–18, 2025.
The 30 full papers were presented in this volume were carefully reviewed and selected from 60 submissions. This conference address challenging is...
This volume constitutes the revised selected papers of 3rd CCF Intelligent Vehicles Symposium, CIVS 2025, in Hangzhou, China, during August 16–18, 2025.
The 30 full papers were presented in this volume were carefully reviewed and selected from 60 submissions. This conference address challenging is...