DNN-Based Map Deviation Detection in LiDAR Point Clouds

DNN-Based Map Deviation Detection in LiDAR Point Clouds

In this work we present a novel deep learning-based approach to detect and specify map deviations in erroneous or outdated high-definition (HD) maps using both sensor and map data as input to a deep neural network (DNN). We first present our proposed reference method for map deviation detection (MDD...

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Bibliographic Details
Main Authors: Christopher Plachetka, Benjamin Sertolli, Jenny Fricke, Marvin Klingner, Tim Fingscheidt
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
3D object detection
automated driving
convolutional neural network (CNN)
deep neural network (DNN)
deviation detection
high-definition (HD) map
Online Access:https://ieeexplore.ieee.org/document/10177986/

Internet

https://ieeexplore.ieee.org/document/10177986/

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