We introduce a benchmarking framework for the task of event-based state estimation, featuring: (1) a novel dataset that complements missing characteristics in existing ones, and (2) a novel evaluation metric that can fairly measure the operation boundaries of event-based solutions. This framework is instantiated through an IROS 2025 Workshop challenge that benchmarks state-of-the-art methods, yielding insights into optimal architectures and persistent challenges.

• Providing a quantitative assessment on how much of the potential of event cameras for handling aggressive maneuvers in stateestimation tasks has been unlocked.
• Providing a sufficient variation in data collection platforms, covering a wide scope of challenging motion patterns under a clear and rigorous definition of high-speed maneuvers for mobile robots.
• Determining the optimal design through comprehensive benchmarking of all state-of-the-art solutions using the proposed dataset and evaluation metrics, while analyzing any remaining gaps in knowledge transfer and commercialization.

Start Time: July 1, 2025

End Time: September 30, 2025

Winners announcement: October 1, 2025

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