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A Visual-Inertial Odometry System for Event-based Vision Sensor
The goal of this project is to develop visual-inertial pipeline for the Dynamic and Active Vision Sensor (DAVIS). The system will estimate the pose of the DAVIS using the event stream and IMU measurements delivered by the sensor.
Event-based cameras are recent revolutionary sensors with large potential for high-speed and low-powered robotic applications. The goal of this project is to develop visual-inertial pipeline for the Dynamic and Active Vision Sensor (DAVIS). The system will estimate the pose of the DAVIS using the event stream and IMU measurements delivered by the sensor. Filtering approaches as well as batch optimization methods will be investigated.
https://youtu.be/bYqD2qZJlxE
http://www.inilabs.com/products/davis
Event-based cameras are recent revolutionary sensors with large potential for high-speed and low-powered robotic applications. The goal of this project is to develop visual-inertial pipeline for the Dynamic and Active Vision Sensor (DAVIS). The system will estimate the pose of the DAVIS using the event stream and IMU measurements delivered by the sensor. Filtering approaches as well as batch optimization methods will be investigated.
https://youtu.be/bYqD2qZJlxE
http://www.inilabs.com/products/davis
Not specified
Henri Rebecq (rebecq at ifi.uzh.ch), Guillermo Gallego (guillermo.gallego at ifi.uzh.ch)
Henri Rebecq (rebecq at ifi.uzh.ch), Guillermo Gallego (guillermo.gallego at ifi.uzh.ch)