TRUST-E
TRUST-E (Trustable (sensor-driven) Electronics for Automotive, Alternative Mobility and Industrial Applications) is a European Project with partners from Sweden, Belgium, and Germany. Altogether, there are 22 partners form large companies, small and medium enterprises (SME), research institutes, and universities.
As Transport and Smart Mobility in future society is rushing towards autonomous vehicles and zero fatalities in traffic, trustworthiness of future components and systems becomes of crucial importance for reaching this goal. Also in other domains, like digital industry, trustworthiness and reliability become non-negotiable hard requirements.
Therefore, the main target of the TRUST-E project is to provide a significant increase in the trustworthiness of complex systems. The focus thereby is on advanced sensor systems and covers the whole chain from components via modules to system integration. Important aspects studied will be the hardware reliability, safety, and health/lifetime monitoring, making use of embedded AI-techniques for highly demanding applications in sensing and edge computing for mobility (autonomous vehicles, semi-automated wheelchairs) and collaborative industrial machines.
The innovations in the project will be manifold. They will encompass new system in package com-ponents comprising power, sensor and signal processing electronics in closest vicinity and will study their behaviour in the application domains mentioned above. Techniques for building trustable systems will be created and improved, including simulation tools and testing. We will evolve from making reliable single sensors to complete reliable and trustable sensor-based systems, including deep-edge smartness or AI in a die and computational empowerment of a sensor node. Embedded AI-techniques will provide necessary health information from sensor nodes based on data-driven models to complement physics-of-failure models. This combination of models allows to make real-time health- and reliability assessments.
The technical outcome will be:
- New common methods and guidelines for design and self-diagnosis of trustworthy components, modules and full system integration, including AI-based optimization;
- A high precision 6-D inertial measurement unit;
- An automotive LiDAR system whose signals are fused with those of radar and camera sensory for advanced driver assistance and future self-driving vehicles.;
- Sensor Networks for condition monitoring of industrial drives and medical mobility.
The business relevance and impact can be summarized as follows:
- Reduce lengthy/costly experimental trial-and-error cycles during design, implying faster time to market;
- Avoid complex projects along the supply chain, due to long feedback cycles, which jeopardize customer-supplier relations and require unnecessary waste of resources;
- Find optimised and superior design for trustability and self-diagnosis from components to systems;
- Self-contained modules that minimize thermal/mechanical impact to other modules;
- Create new jobs creating cooperation opportunities and models to keep European OEMs, Tier 1’s and Tier 2’s into a competitive position with respect to highly critical systems which require extremely high reliability.
Each of the partners will benefit from TRUST-E by being able to offer better products or services. This increases the competitive power, which is essential for increasing market share and maintaining the leading position of the European industry from semiconductor to system level.
The University of Siegen is mostly participating in the topics of condtion monitoring of modules and systems, building a sophisticated demonstrator based on a high-performance computing platform and on the development of the common concept for information interchange linking the hierarchical AI-based elements of the complex demonstrator system.