Get to know AIthena consortium partners – Siemens Digital Industries Software (DISW)

This week we introduce next AIthena consortium partner: Siemens Digital Industries Software (DISW), Siemens Belgium (BE).

Siemens Digital Industries Software (DISW) is an automation and digitalization innovation leader. The core focus is on digital transformation of industries and supporting the specific needs of partners and customers. We assist organizations of all sizes integrate and digitalize their whole value chain with our Simcenter array of end-to-end products, solutions, and services. Our outstanding range helps companies achieve more efficiency and flexibility by optimizing for the individual needs of each business. We are continually introducing new improvements to its simulation and testing portfolio to support cutting-edge future technologies.

What is the role of Siemens Belgium and the team in the project?

Siemens Belgium’s (BE) role is to contribute to the development of safer, more reliable, and intelligent cars using new software technologies from the Simcenter range and the provision of cutting-edge technical solutions. Siemens will extend its AV data collecting and XiL capabilities in the AIthena project to further construct extremely flexible models representing digital twins.

What are you currently working on in the project?

Siemens BE plans to generate real-world datasets for training AI models and expedite the development of AI-based autonomous driving and ADAS systems within the AIthena project. They aim to capture raw data from various sources like LiDARs, Radars, high-resolution cameras, and GNSS/IMU data from test vehicle(s). This raw data will be processed online or offline and lidar, radar and GNSS/IMU data will be shared with project partners. Siemens BE is actively gathering input from all partners to define the required Operational Design Domains (ODDs), driving scenarios, and necessary sensors for the project’s development and validation operations. They also aim to optimize data collection to reduce the amount of noncritical data captured manually. Additionally, Siemens BE aims to bridge the gap between virtual and physical testing environments by ensuring the dependability and trustworthiness of (X)AI models through X-in-the-Loop (XIL) testing approaches.

From your perspective, how do you see the contribution of the AIthena project to building trustworthy, explainable, and accountable AI-based CCAM?

CCAM (cooperative, connected and automated mobility) applications are currently limited in their ability to replicate intuitive human-like gestures. As a result, the successful integration of Artificial Intelligence models into the whole system necessitates smooth interaction and interoperability with active safety measures. Partners in the AIthena project will attempt to address this problem by bridging the gap between AI and validation methodologies for ADAS/AV systems. Furthermore, privacy-related, and time-efficient approaches for storing and processing massive volumes of data that will be used to train (X)AI models will be created. Finally, the creation of (X)AI models in this project will aid in the identification of risks and biases in models and datasets that will be used for fully automated system decision making (e.g., planning and action).

You can read more at Simcenter simulation software | Siemens Software.