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The project integrates Cartographer, an algorithm for building maps based on SLAM, on a robot via ROS. Images from the robot will be used as a machine learning library input in order to detect objects.

This work presents a dataset that provides both frame-free event data and classic image, motion and depth data to assess different event-based methods and compare them to frame-based conventional methods. We hope that this will help researchers understand the potential of the new technology of event-based vision.