A vehicle-mounted multi-camera 3D panoramic imaging algorithm based on ship-shaped model

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Abstract

3D panoramic driving system provides real-time monitoring of a vehicle’s surrounding. It allows drivers to drive more safely without vision blind area. This system captures images of the surroundings by the cameras mounted on the vehicle, maps and stitches the collected images as textures to a 3D model. In this process, the key tasks are to construct a 3D surface model and to design an efficient and accurate texture mapping algorithm. This paper presents a ship-shaped 3D surface model with less distortion and better visual effects. Based on the ship-shaped model, a texture mapping algorithm is proposed, which can obtain the mapping relation between the corrected image and the 3D surface model indirectly by setting up a “virtual imaging plane”. The texture mapping algorithm is accurate and runs fast. Finally, this paper uses an improved weighted average image fusion algorithm to eliminate the splicing traces. Experiments show that the proposed algorithm based on ship-shaped model has better 3D panoramic effect.

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APA

Wang, X., Lin, C., Gao, Y., Li, Y., Wei, S., & Zhao, Y. (2017). A vehicle-mounted multi-camera 3D panoramic imaging algorithm based on ship-shaped model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10668 LNCS, pp. 445–457). Springer Verlag. https://doi.org/10.1007/978-3-319-71598-8_40

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