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Event-based Feature Tracking on an Embedded Platform
Event cameras such as the Dynamic Vision Sensor (DVS) are recent sensors with large potential for high-speed and high dynamic range robotic applications, such as fast obstacle avoidance. In particular, event cameras can be used to track features or objects in the blind time between two frames which makes it possible to react quickly to changes in the scene. In this project we want to deploy a feature tracking algorithm on a resource constrained platform such as a drone. Applicants should have a strong background in C++ programming and low-level vision. Experience with embedded programming is a plus.
Event cameras such as the Dynamic Vision Sensor (DVS) are recent sensors with large potential for high-speed and high dynamic range robotic applications, such as fast obstacle avoidance. In particular, event cameras can be used to track features or objects in the blind time between two frames which makes it possible to react quickly to changes in the scene.
Event cameras such as the Dynamic Vision Sensor (DVS) are recent sensors with large potential for high-speed and high dynamic range robotic applications, such as fast obstacle avoidance. In particular, event cameras can be used to track features or objects in the blind time between two frames which makes it possible to react quickly to changes in the scene.
In this project we want to deploy an event-based feature tracking algorithm on a resource constrained platform such as a drone. Applicants should have a strong background in C++ programming and low-level vision. Experience with embedded programming is a plus.
In this project we want to deploy an event-based feature tracking algorithm on a resource constrained platform such as a drone. Applicants should have a strong background in C++ programming and low-level vision. Experience with embedded programming is a plus.