Abstract—The fusion of laser-point clouds and optical images has been increasingly used in the field of environmental sensing and intelligent devices. It has boosted the development of areas such as entertainment, online house viewing, virtual reality and driverless cars. Traditional fusion algorithms of laser-point clouds and images require a lot of interactive operations such as artificial calibration of sensors and setting of control points. To solve the above problems, this paper proposed an automatic fusion algorithm of laser-point clouds and optical images based on depth images. In this algorithm, the laser-point clouds are converted into depth images, and the mapping relationship between depth images and optical images will be solved. Then the laser-point clouds and the optical images can be fused. The experimental results show that this method can not only ensure the accuracy, but also realize the automation.

Index Terms—LIDAR (Light Detection and Ranging), point clouds, depth images, optical images

Cite: Yuehai Wang, Si Li, and Na Xing, "Fusion Algorithm of Laser-Point Clouds and Optical Images," Journal of Image and Graphics, Vol. 10, No. 3, pp. 127-131, September 2022.

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