High-Definition (HD) maps have drawn lots of attention in the field of autonomous driving in
recent years, due to their high localization precision and detailed environmental information …

Für viele Anwendungen im Bereich des automatisierten Fahrens fehlt es bisher an einer
geeigneten, echtzeitfähigen Architektur, die Kartenmerkmale darstellen und damit eine …

This master's thesis aim is to show the application of semantic segmentation in aerial
imagery using different convolutional neural networks (CNNs). Semantically segmenting …

Semantic segmentation is a process of classifying each pixel in the image. Due to its
advantages, semantic segmentation is used in many tasks like cancer detection, robot …

Semantic segmentation classifies each pixel in the image. Due to its advantages, semantic
segmentation is used in many tasks, such as cancer detection, robot-assisted surgery …

US11645839B2 - Lane feature detection in aerial images based on road geometry - Google
Patents US11645839B2 - Lane feature detection in aerial images based on road geometry …

Driver Assistance System (ADAS). The accuracy and robustness of lane detection are
essential measures. Therefore, many researchers have proposed different methods to …

This paper presents the concept of Ratio Unpooling as a means of improving the
performance of an Encoder-Decoder Convolutional Neural Network (CNN) when applied to …

Several annotators worked on the creation of the ground truth, each focusing on a separate
set of classes. To ensure annotation consistency, a list of rules was established and …