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3D object detection based on high⁃precision map enhancement
更新时间：2025-05-26

    • 3D object detection based on high⁃precision map enhancement

    • “In the field of autonomous driving, researchers have proposed a 3D object detection algorithm HME3D based on high-precision map enhancement. By combining traditional convolution and Transformer, a novel map feature extraction module HFE is constructed to improve detection performance. The model's advantages were validated on the nuScenes dataset, with a 2.81 mAP improvement in accuracy compared to the pure point cloud baseline model.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 3, Pages: 802-809(2023)
    • 作者机构：

      1.武汉理工大学 汽车工程学院，武汉 430070

      2.先进能源科学与技术广东省实验室 佛山分中心（佛山仙湖实验室），广东 佛山 528200

      3.武汉理工大学 现代汽车零部件技术湖北省重点实验室，武汉 430070

      4.武汉理工大学 汽车零部件技术湖北省协同创新中心，武汉 430070

      5.武汉理工大学 新能源与智能网联汽车湖北省工程技术研究中心，武汉 430070

    • DOI：10.13229/j.cnki.jdxbgxb20221254    

      CLC： TP391

    • Received：27 September 2022，

      Published：01 March 2023

    移动端阅览

  • TAO Bo,YAN Fu-wu,YIN Zhi-shuai,et al.3D object detection based on high⁃precision map enhancement[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(03):802-809. DOI： 10.13229/j.cnki.jdxbgxb20221254.

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