METHODS AND APPARATUS FOR NATURAL LANGUAGE-BASED SAFETY CASE DISCOVERY TO TRAIN A MACHINE LEARNING MODEL FOR A DRIVING SYSTEM

A safety case discovery system includes a scenario framework and safety protocols for edge cases. The safety case discovery system receives sensor data generated by at least one sensor during operation of a vehicle and stores the sensor data in a data warehouse. The data warehouse can be queried based on a predefined scenario description to produce a subset of records which are ranked based on a relevancy of the records to the predefined scenario description. The safety case discovery system deduplicates the ranked results to produce edge cases and updates the safety protocol. The safety case discovery system can train a machine learning model vehicle based on the edge cases, to produce a trained machine learning model for optimizing the driving system.