基于GNN-Transformer模型的车道线检测方法
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贾子厚,罗佳,郑利锋,张艳岗,刘正阳,刘奔飞
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Lane line detection method based on GNN-Transformer model
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Zihou JIA,Jia LUO,Lifeng ZHENG,Yangang ZHANG,Zhengyang LIU,Benfei LIU
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| 表2 各方法在CULane测试集的性能对比 |
| Table 2 Performance comparison of each method on CULane test set |
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| 方法 | F1@50/% 总分数 | F1@50/% | 十字路口 假阳性数 |
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| 正常 | 拥挤 | 炫光 | 阴影 | 无线 | 箭头 | 曲线 | 夜间 |
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| UFSA | 68.4 | 87.7 | 66.0 | 58.4 | 62.8 | 40.2 | 81.0 | 57.9 | 62.1 | 1 743 | | PINet | 74.4 | 90.3 | 72.3 | 66.3 | 68.4 | 49.8 | 83.7 | 65.6 | 66.7 | 1 427 | | STLNet | 73.6 | 91.8 | 70.2 | 65.9 | 69.3 | 48.8 | 85.3 | 67.5 | 69.2 | 1 887 | | E-CLRNet | 79.8 | 93.6 | 78.3 | 74.8 | 80.9 | 53.8 | 90.4 | 74.2 | 75.2 | 1 198 | | LaneATT | 75.1 | 91.2 | 72.7 | 65.8 | 68.0 | 49.1 | 87.8 | 63.7 | 68.6 | 1 020 | | 本文方法 | 74.3 | 94.4 | 71.8 | 68.8 | 68.6 | 48.1 | 85.6 | 65.6 | 67.5 | 1 450 |
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