Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms
Da-hyeon Kim, Jun-ho Ahn, Journal of Internet Computing and Services, Vol. 23, No. 6, pp. 71-78, Dec. 2022
Keywords: 3D LiDAR, clustering, Object Detection, Fusion camera, Hyper-parameter
Abstract
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Cite this article
[APA Style]
Kim, D. & Ahn, J. (2022). Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms. Journal of Internet Computing and Services, 23(6), 71-78. DOI: 10.7472/jksii.2022.23.6.71.
[IEEE Style]
D. Kim and J. Ahn, "Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms," Journal of Internet Computing and Services, vol. 23, no. 6, pp. 71-78, 2022. DOI: 10.7472/jksii.2022.23.6.71.
[ACM Style]
Da-hyeon Kim and Jun-ho Ahn. 2022. Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms. Journal of Internet Computing and Services, 23, 6, (2022), 71-78. DOI: 10.7472/jksii.2022.23.6.71.

