Scientific publications

Highlight papers by the staff of Fraunhofer IKS

 

EAI IC4S: Best Paper Award

The EAI IC4S international conference has awarded the prize for the best paper to Fraunhofer IKS for the paper "Concept for Safe Interaction of Driverless Industrial Trucks and Humans in Shared Areas". The topic of the paper is a concept for safe and efficient collaboration between autonomous mobile robots (AMR) and people in shared areas.

 

Is it all a cluster game?

It is essential for safety-critical applications of deep neural networks to determine when new inputs are significantly different from the training distribution. This paper explores this out-of-distribution (OOD) detection problem for image classification using clusters of semantically similar embeddings of the training data and exploit the differences in distance relationships to these clusters between in- and out-of-distribution data.

 

 

Beyond Test Accuracy: The Effects of Model Compression on CNNs

Model compression is widely employed to deploy convolutional neural networks on devices with limited computational resources or power limitations. For high stakes applications, it is, however, important that compression techniques do not impair the safety of the system. This paper investigates the changes introduced by three compression methods that go beyond the test accuracy.

 

Out-Of-Distribution Detection Transformer

A serious problem in image classification is that a trained model might perform well for input data that originates from the same distribution as the data available for model training but performs much worse for out-of-distribution (OOD) samples. This paper proposes a first-of-its-kind OOD detection architecture named OODformer that leverages the contextualization capabilities of the transformer.

 

Situation-Aware Model Refinement for Semantic Image Segmentation

The quality of semantic image segmentation models can be affected by external factors such as weather or daytime. Those factors can lead to safety-critical mistakes. In this work, we propose a systematic approach to detect and alleviate such weaknesses of semantic segmentation models.

 

Enhanced System Awareness as Basis for Resilience of Autonomous Vehicles

Automated cars have to take correct decisions in complex situations. For this, the understanding of a vehicle system’s own capabilities and the environmental context is crucial. We introduce our approach of enhancing the system awareness of vehicles to handle changes gracefully, while optimizing the overall performance.

 

Safety Assurance of Machine Learning for Chassis Control Functions

This paper describes the application of machine learning techniques and an assurance case for a safety-relevant chassis control system. The paper highlights how the choice of machine learning approach supports the assurance case, especially regarding the explainability of the algorithm and its robustness.

 

Collaborative Perception in Automated Driving

In this position paper “Towards Collaborative Perception in Automated Driving: Combining Vehicle and Infrastructure Perspectives” the authors propose a framework to merge the vehicle and the infrastructure perspective enabling collaborative perception and thus to enhance the dependability of the environment perception of automated vehicles in complex scenarios.

 

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Fraunhofer-Publica

You can access all scientific publications of Fraunhofer IKS and former Fraunhofer ESK in the database Fraunhofer-Publica.

Contact

Narges Ahmidi

Contact Press / Media

Dr. Narges Ahmidi

Department Head Reasoned AI Decisions

Hansastr. 32
80686 Munich

Phone +49 89 547088-320

Chih-Hong Cheng

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Dr. Chih-Hong Cheng

Departement Head Safety Assurance for AI

Hansastr. 32
80686 Munich

Phone +49 89 547088-392

Núria Mata

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Dr.-Ing. Núria Mata

Department Head Cognitive Software Systems Engineering

Hansastr. 32
80686 Munich

Phone +49 89 547088-323

Karsten Roscher

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Karsten Roscher

Departement Head Dependable Perception & Imaging

Hansastr. 32
80686 Munich

Phone +49 89 547088-349

Philipp Schleiß

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Philipp Schleiß

Department Head Systems Safety Engineering

Hansastr. 32
80686 Munich

Phone +49 89 547088-398

Gereon Weiß

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Dr. Gereon Weiß

Department Head Self-Adaptive Software Systems

Hansastr. 32
80686 Munich

Phone +49 89 547088-348