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Improved Kmeans Algorithm for Detection in Traffic Scenarios Tongji University
- Format:
- Conference/Event
- Author/Creator:
- Liu, Xiangyong, author.
- Conference Name:
- Automotive Technical Papers (2019-01-01 : Warrendale, Pennsylvania, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2019
- Summary:
- AbstractIn the Kmeans cluster segmentation used in traffic scenes, there are often zone optimization and over-segmentation problems caused by the algorithm randomly assigning the initial cluster center. In order to improve the target extraction effect in traffic road scenes, this article proposes an improved Kmeans (IM-Kmeans) method.The simulation and experimental comparisons show that the IM-Kmeans algorithm has higher clustering accuracy than the traditional Kmeans algorithm
- Notes:
- Vendor supplied data
- Publisher Number:
- 2019-01-5067
- Access Restriction:
- Restricted for use by site license
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