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Copy file name to clipboardexpand all lines: README.md
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## Introduction
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Sensor calibration is the foundation block of any autonomous system and its constituent sensors and must be performed correctly before sensor fusion may be implemented. Precise calibrations are vital for further processing steps, such as sensor fusion and implementation of algorithms for obstacle detection, localization and mapping, and control. Further, sensor fusion is one of the essential tasks in autonomous driving applications that fuses information obtained from multiple sensors to reduce the uncertainties compared to when sensors are used individually. To solve the problem of sensor calibration for autonomous vehicles, we provide a sensors calibration toolbox. The calibration toolbox can be used to calibrate sensors such as IMU, Lidar, Camera, and Radar.
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Sensor calibration is the foundation block of any autonomous system and its constituent sensors and must be performed correctly before sensor fusion may be implemented. Precise calibrations are vital for further processing steps, such as sensor fusion and implementation of algorithms for obstacle detection, localization and mapping, and control. Further, sensor fusion is one of the essential tasks in autonomous driving applications that fuses information obtained from multiple sensors to reduce the uncertainties compared to when sensors are used individually. To solve the problem of sensor calibration for autonomous vehicles, we provide a sensors calibration toolbox. The calibration toolbox can be used to calibrate sensors such as **IMU, Lidar, Camera, and Radar**.
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### Sensors calibration
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This calibration toolbox provides some calibration tools based on road scenes. The specific contents are as follows. If you want to use one of the calibration tools in the list below, you can click the use link to enter the instruction page.
Copy file name to clipboardexpand all lines: camera_intrinsic/README.md
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-**Intrinsic Calibration:** Program will automatically run intrinsic calibration. Corner-detect result will be displayed. All input calibration images will be undistorted and save to `<calibration_image_dir>/undistort/` dir.
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-**Distortion Evaluation:** Sampled points of original and undistorted images will be displayed. Undistorted distortion_image will be save to `<output_dir>`.
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## Citation
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This distortion evaluation code is based on the research below:
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```
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@article{tang2012high,
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title={High-precision camera distortion measurements with a “calibration harp”},
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author={Tang, Zhongwei and von Gioi, Rafael Grompone and Monasse, Pascal and Morel, Jean-Michel},
-**Intrinsic Calibration:** Program will automatically run intrinsic calibration. Corner-detect result will be displayed. All input calibration images will be undistorted and save to `<calibration_image_dir>/undistort/` dir.
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-**Distortion Evaluation:** Sampled points of original and undistorted images will be displayed. Undistorted distortion_image will be save to `<output_dir>`.
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