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

모빌리티, 스마트 머신 및 IoT용 소프트웨어 개발 키트입니다. 안전 인증.

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.Grace는 응용 프로그램 개발자로부터 기본 구성 요소의 복잡성을 추상화합니다.

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.Grace는 응용 프로그램 개발자로부터 기본 구성 요소의 복잡성을 추상화합니다.

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.Grace는 응용 프로그램 개발자로부터 기본 구성 요소의 복잡성을 추상화합니다.

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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