camera calibration
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Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8155
Author(s):  
Nivesh Gadipudi ◽  
Irraivan Elamvazuthi ◽  
Cheng-Kai Lu ◽  
Sivajothi Paramasivam ◽  
Steven Su

Visual odometry is the process of estimating incremental localization of the camera in 3-dimensional space for autonomous driving. There have been new learning-based methods which do not require camera calibration and are robust to external noise. In this work, a new method that do not require camera calibration called the “windowed pose optimization network” is proposed to estimate the 6 degrees of freedom pose of a monocular camera. The architecture of the proposed network is based on supervised learning-based methods with feature encoder and pose regressor that takes multiple consecutive two grayscale image stacks at each step for training and enforces the composite pose constraints. The KITTI dataset is used to evaluate the performance of the proposed method. The proposed method yielded rotational error of 3.12 deg/100 m, and the training time is 41.32 ms, while inference time is 7.87 ms. Experiments demonstrate the competitive performance of the proposed method to other state-of-the-art related works which shows the novelty of the proposed technique.


Measurement ◽  
2021 ◽  
pp. 110563
Author(s):  
Junzhou Huo ◽  
Zhichao Meng ◽  
Haidong Zhang ◽  
Shangqi Chen ◽  
Fan Yang

2021 ◽  
Author(s):  
kui wu ◽  
Qiancheng Ying ◽  
Wenqian Wang ◽  
Liansheng Zhang ◽  
Rongjun Cheng ◽  
...  

2021 ◽  
Author(s):  
Issac Niwas Swamidoss ◽  
Omar K. Almelhi ◽  
Abdulla Alsaadi Al Mansoori ◽  
Amani Bin Amro ◽  
Abdulrahman Mohamed Al Marzooqi ◽  
...  

2021 ◽  
Vol 11 (21) ◽  
pp. 10300
Author(s):  
Renhao Ge ◽  
Dahai Li ◽  
Xinwei Zhang ◽  
Ruiyang Wang ◽  
Wanxing Zheng ◽  
...  

Phase measuring deflectometry (PMD) is a competitive method for specular surface measurement that offers the advantages of a high dynamic range, non-contact process, and full field measurement; furthermore, it can also achieve high accuracy. Camera calibration is a crucial step for PMD. As a result, a method based on the calibration of the entrance pupil center is introduced in this paper. Then, our proposed approach is compared with the most popular photogrammetric method based on Zhang’s technique (PM) and Huang’s modal phase measuring deflectometry (MPMD). The calibration procedures of these three methods are described, and the measurement errors introduced by the perturbations of degrees of freedom in the PMD system are analyzed using a ray tracing technique. In the experiment, a planar window glass and an optical planar element are separately measured, and the measurement results of the use of the three methods are compared. The experimental results for the optical planar element (removing the first 6 terms of the Zernike polynomial) show that our method’s measurement accuracy reached 13.71 nm RMS and 80.50 nm PV, which is comparable to accuracy values for the interferometer.


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