How do full-stack ADAS software suites manage hardware diversity while ensuring seamless integration across various platforms?
What are the key advantages and challenges of modular pipelines versus end-to-end pipelines in ADAS development, and which approach is more effective?
What is the current state of safety and liability regarding the deployment of end-to-end AI models in autonomous driving systems?
What strategies and methodologies are being employed to effectively scale AI solutions within ADAS ecosystems?
How do ADAS software suites ensure compliance with evolving safety standards while remaining adaptable to rapid industry changes and technological advancements?
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