Multimodal Panoptic Segmentation Of 3d Point Clouds
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Multimodal Panoptic Segmentation of 3D Point Clouds
Author: Dürr, Fabian
language: en
Publisher: KIT Scientific Publishing
Release Date: 2023-10-09
The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Author: Kalb, Tobias Michael
language: en
Publisher: KIT Scientific Publishing
Release Date: 2024-10-21
Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated driving, identifying semantic shifts and feature changes as key factors. Tools for quantitatively measuring forgetting are selected and used to show how strategies like image augmentation, pretraining, and architectural adaptations mitigate catastrophic forgetting.
Trustworthy Distributed Usage Control Enforcement in Heterogeneous Trusted Computing Environments
Author: Wagner, Paul Georg
language: en
Publisher: KIT Scientific Publishing
Release Date: 2025-01-17
Distributed usage control allows to regulate the use of data even after sharing. However, existing solutions are susceptible to manipulation by dishonest data receivers. This work investigates the use of trusted computing to achieve a trustworthy usage control enforcement process. For this, a suitable system architecture and several remote attestation protocols are designed and implemented. The resulting usage control framework is evaluated using a smart manufacturing application scenario.