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首页> 外文期刊>Automotive engineering >DATA ORCHESTRATION AND SMART INGEST FOR AUTONOMOUS DEVELOPMENT: AN OVERVIEW AND DEMO
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DATA ORCHESTRATION AND SMART INGEST FOR AUTONOMOUS DEVELOPMENT: AN OVERVIEW AND DEMO

机译:DATA ORCHESTRATION AND SMART INGEST FOR AUTONOMOUS DEVELOPMENT: AN OVERVIEW AND DEMO

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摘要

With ADAS/AD sensor data collection already measured in petabytes and growing exponentially, sensor data management is an obvious strain on budgets. To reduce complexity and costs, two critical improvements are needed. The first is to fast-track development teams' important topical data. The second is to remove corrupt or unusable data before it incurs further downstream costs.

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