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PLC2 Research

SelfAutoDoc – an Organic Computing System for Self-Driving Vehicles

Self-healing automotive driving platform powered by Organic Computing (SelfAutoDoc)

In the future, self-driving vehicles will have to react to any potential errors in a robust and flexible way. Because the number of different error scenarios is too large to handle with static modelling techniques, a dynamic system is needed which can proactively adapt itself and react to new and unforeseen situations.

Creating an organic
computing system for
self-driving vehicles.

A promising approach for this is organic computing, which uses biology-inspired algorithms to create systems which are self-configuring, self-organising, self-protecting, and self-healing.

The goal of this research project is for PLC2 and its project partners to create an organic computing system for self-driving vehicles, and to explore and evaluate it through the use of a prototype vehicle.

PLC2’s contribution to this project will be to create redundant and fault-proof networking solutions for on-chip communications. The lessons learned from this project will be translated directly over to the development of PLC2’s flagship product, the automotive data logger 1000 (ADL-1000).

The SelfAutoDOC research is funded in part by the Federal Ministry for Economic Affairs and Climate Protection (BMWK) as part of the »Neue Fahrzeug- und Systemtechnologien« (New Vehicle and System Technologies) programme.

More research projects

EEEM

The objective of the research project is the development of an intelligent energy management system that adapts the operating parameters of electric motors to the actual energy demands, thereby achieving a loss reduction of up to 25 % when it comes to energy consumption.

View research case

Fractal – Completed

PLC2 is part of the EU research project Fractal. The aim of Fractal is to create a reliable computing platform node, realizing a so-called cognitive edge under industry standards. This computing platform node will be the building block of a scalable, decentralized Internet of Things (ranging from smart low-energy computing systems to high-performance computing edge nodes).

View research case

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