Compute and motion are tightly intertwined in MAVs, requiring cyber-physical co-design for optimal mission metrics, as shown via analytical models, simulation, end-to-end benchmarking, and the open-sourced MAVBench tool suite.
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LLM-assisted pipeline jointly generates logical formulas and executable predicates for rule-based verification of HD map transformations in CommonRoad, evaluated on synthetic bridge and slope scenarios.
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The Role of Compute in Autonomous Aerial Vehicles
Compute and motion are tightly intertwined in MAVs, requiring cyber-physical co-design for optimal mission metrics, as shown via analytical models, simulation, end-to-end benchmarking, and the open-sourced MAVBench tool suite.
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LLM-Assisted Tool for Joint Generation of Formulas and Functions in Rule-Based Verification of Map Transformations
LLM-assisted pipeline jointly generates logical formulas and executable predicates for rule-based verification of HD map transformations in CommonRoad, evaluated on synthetic bridge and slope scenarios.