Autonomous Vehicles: How to Ensure Software Safety Compliance
From Traditional Coding to the Use of Artificial Intelligence in Autonomous Vehicles
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How to Ensure Software Safety Compliance
Ensuring software safety compliance in automotive applications involves rigorous testing, validation, and adherence to industry standards such as ISO 26262, ISO 21448, and ISO 8800. This includes a multi-layered approach like establishing coding guidelines like MISRA, thorough risk assessment, robust software development processes, and continuous monitoring for potential hazards or failures throughout the software lifecycle using ASPICE-like frameworks.
Additionally, incorporating safety mechanisms like redundancy, fail-safes, detecting misuse, unexpected events, and error detection algorithms is essential to mitigate risks and ensure the safe operation of automotive software systems. Following coding guidelines and processes listed as per MISRA and ASPICE are needed for traditional coding. While these guidelines do not govern AI models or systems directly, they apply to code that interacts with these models.
The attached report covers topics related to ensuring software safety compliance starting from the traditional coding to Artificial Intelligence (AI) based systems in automotive applications.
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