Computer Vision Methods for Automotive Applications

Authors

DOI:

https://doi.org/10.21754/tecnia.v30i2.801

Keywords:

computer vision, wheel rim detection, vehicle calibration angles, stereo odometry

Abstract

Recent advances in computer vision have favored technological developments in the automotive industry. In this work, we present methods relevant to the use of cameras as measurement devices in computer vision and their applications in the automotive industry. The methods are edge and ellipse detection, camera calibration, 3-D reconstruction and stereo vision. The applications include methods for detecting rims in automotive wheels, estimation of the calibration angles of vehicles and the reconstruction of a vehicle's trajectory using stereo vision. The results showed the potential of computer vision methods to solve complex problems in the automotive industry. In conclusion, a set of techniques and applications of computer vision in the automotive industry are presented in order to motivate future developments in this and other related areas.

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References

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Published

2020-11-28

How to Cite

[1]
A. A. Díaz and P. R. G. Kurka, “Computer Vision Methods for Automotive Applications”, TEC, vol. 30, no. 2, pp. 74–81, Nov. 2020.

Issue

Section

Control, automation and Mechatronic Systems