Publication: Continuous-Time Visual-Inertial Odometry for Event Cameras
Continuous-Time Visual-Inertial Odometry for Event Cameras
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Mueggler, E., Gallego, G., Rebecq, H., & Scaramuzza, D. (2019). Continuous-Time Visual-Inertial Odometry for Event Cameras. IEEE Transactions on Robotics, 34, 1425–1440. https://doi.org/10.1109/tro.2018.2858287
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Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard cameras, namely a very high dynamic range, no motion blur, and a latency in the order of microseconds. However, due to the fundamentally different structure of the sensor’s output, new algorithms that exploit the high temporal resolution and the asynchronous nature of the sensor are required. Recent work has shown that a continuous-time representation of the even
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- Mueggler, Elias
- Gallego, Guillermo
- Rebecq, Henri
- Scaramuzza, Davide
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Mueggler, E., Gallego, G., Rebecq, H., & Scaramuzza, D. (2019). Continuous-Time Visual-Inertial Odometry for Event Cameras. IEEE Transactions on Robotics, 34, 1425–1440. https://doi.org/10.1109/tro.2018.2858287
