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  4. Vol 7, Issue 1, 2024

Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology

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DOI: 10.23977/jipta.2024.070108 | Downloads: 2 | Views: 15

Author(s)

Haowei Yang 1, Liyang Wang 2, Jingyu Zhang 3, Yu Cheng 4, Ao Xiang 5

Affiliation(s)

1 Cullen College of Engineering, University of Houston, Industrial Engineering, Houston, TX, USA
2 Olin Business School, Washington University in St. Louis, Finance, St. Louis, MO,USA
3 The Division of the Physical Sciences, The University of Chicago, Analytics, Chicago, IL, USA
4 The Fu Foundation School of Engineering and Applied Science, Columbia University, Operations Research, New York, NY, USA
5 School of Computer Science & Engineering (School of Cybersecurity), University of Electronic Science and Technology of China, Digital Media Technology, Chengdu, Sichuan, China

Corresponding Author

Haowei Yang

ABSTRACT

With the widespread application of Light Detection and Ranging (LiDAR) technology in fields such as autonomous driving, robot navigation, and terrain mapping, the importance of edge detection in LiDAR images has become increasingly prominent. Traditional edge detection methods often face challenges in accuracy and computational complexity when processing LiDAR images. To address these issues, this study proposes an edge detection method for LiDAR images based on artificial intelligence technology. This paper first reviews the current state of research on LiDAR technology and image edge detection, introducing common edge detection algorithms and their applications in LiDAR image processing. Subsequently, a deep learning-based edge detection model is designed and implemented, optimizing the model training process through preprocessing and enhancement of the LiDAR image dataset. Experimental results indicate that the proposed method outperforms traditional methods in terms of detection accuracy and computational efficiency, showing significant practical application value. Finally, improvement strategies are proposed for the current method's shortcomings, and the improvements are validated through experiments.

KEYWORDS

LiDAR, edge detection, artificial intelligence, deep learning, image processing

CITE THIS PAPER

Haowei Yang, Liyang Wang, Jingyu Zhang, Yu Cheng, Ao Xiang, Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology. Journal of Image Processing Theory and Applications (2024) Vol. 7: 64-74. DOI: http://dx.doi.org/10.23977/jipta.2024.070108.

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