ARCNet RPI Name – ADAS NLP GIF
August 6, 2020
In order to plan for FY21 scoping discussions, TRMC’s ADAS project requests information from the ARCNet consortium members for ideas of addressing T&E of autonomy systems, with a specific emphasis on Natural Language Processing (NLP) across a program’s life cycle. Recent technological advancements in the area of NLP have produced open source and commercial off the shelf (COTS) products that are transforming the landscape of information analysis across industries. NLP tools such as GPT-3 and BERT are just a couple of recent examples of AI models/services that could assist with expediting and scaling automated tools to support workflow processes that are dependent upon language-based knowledge products. The objective here is to explore what are the opportunities whereby NLP could be used to transform and accelerate traditional manual processes typically performed by humans. Specifically for ADAS, how can we apply NLP to support the unique challenges of an autonomous system that is responsible for making decisions in the context of a warfighter mission or business process ISO fielding, testing and delivering autonomy systems? How can we leverage NLP to support the life cycle with emphasis on RDT&E workflow processes?