Extrinsic Calibration of Camera and 2D Laser Sensors without Overlap
Department of Computer Engineering, the Hashemite University, Zarqa 13115, Jordan
Department of Mechatronics Engineering, the Hashemite University, Zarqa 13115, Jordan
Department of Computer and Information Sciences, Fordham University, New York, NY 10023, USA
Current address: Department of Computer Engineering, the Hashemite University, Zarqa 13115, Jordan.
Author to whom correspondence should be addressed.
Received: 12 September 2017 / Revised: 8 October 2017 / Accepted: 12 October 2017 / Published: 14 October 2017
Extrinsic calibration of a camera and a 2D laser range finder (lidar) sensors is crucial in sensor data fusion applications; for example SLAM algorithms used in mobile robot platforms. The fundamental challenge of extrinsic calibration is when the camera-lidar sensors do not overlap or share the same field of view. In this paper we propose a novel and flexible approach for the extrinsic calibration of a camera-lidar system without overlap, which can be used for robotic platform self-calibration. The approach is based on the robot–world hand–eye calibration (RWHE) problem; proven to have efficient and accurate solutions. First, the system was mapped to the RWHE calibration problem modeled as the linear relationship
are unknown calibration matrices. Then, we computed the transformation matrix
, which was the main challenge in the above mapping. The computation is based on reasonable assumptions about geometric structure in the calibration environment. The reliability and accuracy of the proposed approach is compared to a state-of-the-art method in extrinsic 2D lidar to camera calibration. Experimental results from real datasets indicate that the proposed approach provides better results with an L2 norm translational and rotational deviations of 314 mm and
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Ahmad Yousef, K.M.; Mohd, B.J.; Al-Widyan, K.; Hayajneh, T. Extrinsic Calibration of Camera and 2D Laser Sensors without Overlap. Sensors 2017, 17, 2346.
Ahmad Yousef KM, Mohd BJ, Al-Widyan K, Hayajneh T. Extrinsic Calibration of Camera and 2D Laser Sensors without Overlap. Sensors. 2017; 17(10):2346.
Ahmad Yousef, Khalil M.; Mohd, Bassam J.; Al-Widyan, Khalid; Hayajneh, Thaier . 2017. "Extrinsic Calibration of Camera and 2D Laser Sensors without Overlap." Sensors 17, no. 10: 2346.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.