A DSL combined with LLMs generates consistent, low-latency triggers for selective multimodal sensor data collection, outperforming direct code generation in consistency and speed with comparable detection performance.
Estimating the uniqueness of test scenarios derived from recorded real-world-driving-data using autoencoders
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A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection
A DSL combined with LLMs generates consistent, low-latency triggers for selective multimodal sensor data collection, outperforming direct code generation in consistency and speed with comparable detection performance.