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Accelerate Verification & Validation
of Automated and Autonomous Vehicles with Apex.OS

モビリティ、スマート マシン、IoT 向けのソフトウェア開発キット。安全認証済み。

The validation effort for software-defined vehicles' automated and autonomous driving functions, from SAE Level 2 to Level 5, increases exponentially with the complexity of the environment and ODD (Operational Design Domain).

 

Apex.AI for V&V enables revision-safe and deterministic data recording to ingest and replay with the highest possible performance. Traditional V&V methods are inadequate, as these systems require scaling for real-world complexity while managing the increasing numbers of sensors and data. 

Industry challenges

Apex.Grace は、基礎となるコンポーネントの複雑さをアプリケーション開発者から切り離します。

Vehicle autonomy is complex. From managing the growing amount of sensors over changing E/E architectures to ensuring regulatory compliance, engineers face mounting pressure to deliver faster, more reliable validation processes.

​Key challenges are:

  • Replay tools lack time and data determinism. 

  • Traditional validation and verification methods do not scale with the increasing complexity needed to prove the conformance of functional safety standards of higher level of automation.

  • Increasing efforts for scenario-based testing.

  • Continuous homologation is required to prove compliance with ever-evolving legal requirements. 

  • Managing vast amounts of sensor data. 

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Apex.Grace は、基礎となるコンポーネントの複雑さをアプリケーション開発者から切り離します。

Apex.OS for V&V extends the safety-certified middleware to ensure deterministic record and replay.

Features

  • Time & data deterministic record & replay: Achieve deterministic record and replay based on our safety-certified middleware. The ability to record in-vehicle data and play it back time- and data deterministically is crucial for the performance evaluation of automated and autonomous driving systems.
     

  • Scenario-based testing: Large-scale testing capabilities to reproduce and reprocess real-world scenarios require revision-proof, traceable and reliable dynamic ground truth data.
     

  • Integration with simulation tools: Seamless integration into existing Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-in-the-Loop (ViL) setups. 
     

  • Error recording & reproduction: Efficiently record and reproduce error situations for analysis. 
     

  • Dynamic ground truth data: Enables efficient and reproducible testing with support for dynamic ground truth integration. 

Summary

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Apex.OS provides simulator interfaces, connecting different simulators for comprehensive testing in both SiL, HiL and ViL environments. This supports workflows for offline re-simulation using recorded and synthetic data to validate software performance against specified requirements.

Apex.Grace は、基礎となるコンポーネントの複雑さをアプリケーション開発者から切り離します。

From early-stage error detection to final release, Apex.OS supports you during the V&V process.

V&V Engineer

Apex.OS enables compliance with regulatory requirements by ensuring that your test methods and vehicle behavior meet industry standards for homologation. Easily repeat approval test scenarios to ensure smooth validation.

  • Ensure vehicle compliance with regulatory requirements 

  • Reproduce error situations 

Test Engineer

Apex.OS enables the virtual verification of all edge cases of automated driving functionality in SiL-HiL-ViL environments (Software in the loop, Hardware in the loop, Vehicle in the loop)

  • Validate and verify all corner cases 

  • Record error and problem situations 

  • Revalidate automated driving functionality 

V&V Manager

Apex.OS ensures the validity and reliability of testing methods.

  • Prove test method efficacy 

  • Optimize homologated AD algorithms 

System Engineer

Apex.OS enables the reproduction of error situations and analyze root causes with full context data integration.

  • Analyze system context data 

  • Determine the root cause of errors 

Maritime
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The future of mobility lies in software-defined vehicles with advanced autonomous capabilities. 

Ready to accelerate your automated or autonomous vehicle testing?

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