Publication: Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios
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Rosinol Vidal, A., Rebecq, H., Horstschaefer, T., & Scaramuzza, D. (2018). Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios. IEEE Robotics and Automation Letters, 3(2), 994–1001. https://doi.org/10.1109/lra.2018.2793357
Abstract
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Abstract
Event cameras are bioinspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual information during high-speed motions or in scenes characterized by high dynamic range. However, event cameras output only little information when the amount of motion is limited, such as in the case of almost still motion. Conversely, standard cameras provide instant and rich informati
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Creators (Authors)
- Rosinol Vidal, Antonio
- Rebecq, Henri
- Horstschaefer, Timo
- Scaramuzza, Davide
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Citations
Rosinol Vidal, A., Rebecq, H., Horstschaefer, T., & Scaramuzza, D. (2018). Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios. IEEE Robotics and Automation Letters, 3(2), 994–1001. https://doi.org/10.1109/lra.2018.2793357
