Point cloud object detection method based on multi-pillar feature fusion
Image Processing|更新时间:2025-09-08
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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 DisplaysVol. 40, Issue 9, Pages: 1296-1307(2025)
作者机构:
1.南京信息工程大学 计算机学院, 江苏 南京 210044
2.无锡学院 物联网工程学院, 江苏 无锡 214105
3.吉林大学 仪器科学与电气工程, 吉林 长春130012
作者简介:
基金信息:
National Natural Science Foundation of China(62206257);“Light of the Taihu Lake” scientific and technological research project for Wuxi Science and Technology Development Fund(K20241044);Wuxi University Research Start-up Fund for Introduced Talents(2023r004;2023r006);Jilin Provincial Science and Technology Development Plan(20210204050YY)
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:
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.
Point cloud object detection method based on multi-pillar feature fusion