“MotionWise Schedule” addresses these challenges by adopting a correct-by-design approach. Our best-in-class scheduling algorithms ensure that software components and communication is mapped to the hardware resources so that safety and real-time behaviour can be achieved”, said Dr. Stefan Poledna, CTO and Co-Founder of TTTech Auto. “This method significantly reduces the time required for software releases, encompassing design, testing and validation phases. The “MotionWise Schedule” runtime enforces configuration outcomes, offering a safe execution environment that includes safe real-time and run-time scheduling, guaranteed end-to-end timing, Freedom From Interference (FFI) for mixed-criticality systems, and deterministic execution among other properties“, he added.

Already in 2018, TTTech Auto introduced its flagship product “MotionWise”, a safety middleware designed for distributed architectures requiring safety and real-time properties. Today, MotionWise is deployed in more than 2 million vehicles, with a secured pipeline of more than 9 million in the years to come.

“MotionWise Schedule” is the first modular solution from the new MotionWise family. It contains all the technology developed for MotionWise in a modular and flexible product, enabling a seamless integration with standardized based architectures as well as custom ones. In today’s automotive landscape, effective scheduling is not merely about performance enhancement. It is a fundamental element ensuring safety and real-time execution. TTTech Auto’s “MotionWise Schedule” offers the following key features:

• Scheduling of tasks and network communication allows to achieve higher resource utilization and performance providing a correct-by-design approach. It seamlessly maps tasks to CPU cores and defines the required network configuration for Time Sensitive Networking (TSN). Thus, it enables highly optimized multi-CPU core and multi-SoC solutions.
• Time-Triggered execution provides a time-boxed isolation between tasks, enabling mix-criticality and composability. This results in lower testing and verification efforts for real-time tasks, determinism and execution repeatability, as well as faster system integration.
• The newly added support for dataflow driven scheduling adds flexibility for developers, it supports dataflow dependencies and allows to dynamically switch between different dataflows. Modeling is simple and efficiently based on Directed Acyclic Graphs (DAG) with parallel execution on multiple CPU cores.
• Computation chains can be easily modeled and their end-to-end latency bounds (from sense to act) are enforced across multiple CPU cores and SoCs.
• Task monitoring is provided to gain comprehensive insights into task performance and sequencing allowing for real-time analysis and system level optimization.
• Time synchronization across multiple SoCs and Ethernet TSN is provided for time-triggered execution and communication, minimized latency, and real-time performance analysis.
• A powerful and intuitive tooling allows to visualize schedules and supports comparisons of plans versus actual execution. This enables faster and more efficient pinpointing of resource issues and supports faster system level optimizations.
• “MotionWise Schedule” is standard friendly. It supports AUTOSAR, POSIX, Data Distribution Service (DDS) and Time Sensitive Networking (TSN).
• “MotionWise Schedule” abstracts software functionality from the hardware with its powerful tooling and run-time. It supports mixed-criticality systems and supports incremental updates with vastly reduced re-validation efforts.

In SDV projects, manual configuration of schedulers often leads to a cycle of repeating testing and iterations. With each code alteration or addition of a new feature, with every new software release the process re-starts, causing delays in start of production (SOP) timelines and escalating costs. “MotionWise Schedule” can circumvent this. To circumvent these manual iterations, three key elements are provided by “MotionWise Schedule”:

• An overarching scheduling concept encompassing workload separation based on criticality, task dependency scheduling, and failure handling.
• Tools that operationalize this concept and streamline configuration and integration processes.
• An embedded stack that actualizes these functionalities within the vehicle.

In a nutshell, “MotionWise Schedule” enables an accelerated and more robust SW integration process. Its correct-by-design approach supports safe real-time execution and communication, vastly reduces testing efforts, and allows a higher resource utilization. TTTech Auto is modularizing its middleware platform “MotionWise” and will release further additional modules in the near future.

For further information, visit TTTech Auto’s website.

About TTTech Auto

TTTech Auto provides solutions for software-defined vehicles and safety critical applications. The company specializes in safe software and hardware platforms for automated driving and beyond, applicable in series production programs. With its leading technology solutions, TTTech Auto ensures safety and electronic robustness for a more automated world.

TTTech Auto was founded in 2018 by TTTech Group and technology leaders Audi, Infineon and Samsung to build a global, safe vehicle software platform for automated and autonomous driving. In 2022, the company raised USD 285 million (EUR 250 million) from Aptiv and Audi in its latest funding round. At TTTech Auto’s headquarters in Vienna, Austria, and its subsidiaries across Europe and Asia, 1,100 employees work with leading car manufacturers on their software-defined vehicle, ADAS and autonomous driving programs. The company has acquired and invested in technology companies in the UK, Spain, Turkey, China and Central and Eastern Europe. http://www.tttech-auto.com/