您当前的位置:
首页 >
文章列表页 >
Point cloud object detection method based on multi-pillar feature fusion
Image Processing | 更新时间:2025-09-08
    • Point cloud object detection method based on multi-pillar feature fusion

    • “In the field of autonomous driving, an efficient point cloud object detection method has been proposed, which achieves a balance between detection accuracy and real-time performance through multi column feature fusion and optimized data augmentation strategy, demonstrating potential applications.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 9, Pages: 1296-1307(2025)
    • DOI:10.37188/CJLCD.2025-0096    

      CLC: TP391.4
    • CSTR:32172.14.CJLCD.2025-0096    
    • Received:25 April 2025,

      Revised:2025-07-11,

      Published:05 September 2025

    移动端阅览

  • FU Zhihan, LI Zhiyi, DAI Chuang, et al. Point cloud object detection method based on multi-pillar feature fusion[J]. Chinese journal of liquid crystals and displays, 2025, 40(9): 1296-1307. DOI: 10.37188/CJLCD.2025-0096. CSTR: 32172.14.CJLCD.2025-0096.

  •  
  •  

0

Views

38

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Improved autonomous driving object detection based on YOLOv8s
Processing and feature extraction for three-dimensional bullet point cloud data

Related Author

ZHANG Lijuan
DAI Chuang
FU Zhihan
LI Dongming
ZHANG Lijuan
FANG Wei
WANG Longchun
Zhong-hui WEI

Related Institution

School of Computer Science, Wuxi University
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
University of Chinese Academy of Sciences
Baicheng Ordnance Test Center
School of Internet of Things Engineering, Wuxi University
0