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navsim

Data-Driven Simulation for Autonomous Vehicles with Focus on Non-Reactive Metrics

Product DescriptionThe project leverages data-driven simulation to advance autonomous vehicle testing, focusing on non-reactive environments and effective metric analysis. It employs a unique approach that uses metrics like progress and collision time, with a bird's-eye perspective for short-term simulations. By preventing policy impact on environments, the project ensures detailed open-loop metrics that are well-aligned with closed-loop evaluations, improving traditional error assessments. As part of the AGC 2024 initiative, NAVSIM enhances benchmarking with releases such as v1.1 and v1.0, refining leaderboard features and visualization tools. Supported by the University of Tübingen and NVIDIA Research, the project contributes significantly to autonomous driving research.
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