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TUM School of Computation, Information and Technology
Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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data:datasets:rolling-shutter-dataset [2019/11/04 17:24]
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data:datasets:rolling-shutter-dataset [2022/01/11 12:20] (current)
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 ==== Calibration ==== ==== Calibration ====
-{{:data:datasets:rolling-shutter-dataset:rolling_setup.png?400|}}+{{:data:datasets:rolling-shutter-dataset:sensor_axes_rgb.jpg?400|}}
  
-For the calibrated sequences that are provided in the table the ground-truth poses are provided in the IMU coordinate frame and time-synchronized with image and IMU data. Geometric camera-IMU calibration can be found here: [[https://cdn3.vision.in.tum.de/rolling/calibration/camchain-calibration-equidistant4_camimu_dataset-calib-imu1.yaml | calibration.yaml]]. Calibration was done using the following sequences.+The figure shows approximate sensor orientations in xyz-rgb convention. 
 + 
 +> **Note**: this is an updated figure compared to the schematic illustration in the paper, which might have been confusing. Also, in the calibrated dataset, the offset between IMU and Marker reference frame has already been taken care of: the ground truth poses are post-processed to track the IMU frame. 
 + 
 +For the calibrated sequences that are provided in the table the ground-truth poses are provided for the IMU coordinate frame and time-synchronized with image and IMU data. Geometric camera-IMU calibration can be found here: [[https://cdn3.vision.in.tum.de/rolling/calibration/camchain-calibration-equidistant4_camimu_dataset-calib-imu1.yaml | calibration.yaml]].  
 + 
 +Calibration was done using the following sequences.
  
 <html> <html>
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 For more information about calibration, we refer to our [[data:datasets:visual-inertial-dataset|visual-inertial dataset]]. For more information about calibration, we refer to our [[data:datasets:visual-inertial-dataset|visual-inertial dataset]].
  
-According to the manufacturer, the time difference of two consecutive rows due to rolling shutter is approximately 29.4737 microseconds.+According to the camera manufacturer, the time difference of two consecutive rows due to rolling shutter can't be read directly, but is very well approximated by the step size of the exposure time. Like this, we obtain an approximate row time difference of 29.4737 microseconds.

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More