动态场景下融合YOLOv11n目标检测的优化ORB-SLAM3算法
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谢章郁,杨杰,欧阳嗣源,曾阳剑
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Optimized ORB-SLAM3 algorithm incorporating YOLOv11n object detection for dynamic scenes
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Zhangyu XIE,Jie YANG,Siyuan OUYANG,Yangjian ZENG
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| 表 3 不同SLAM算法在TUM数据集中的绝对轨迹误差对比 |
| Tab.3 Absolute trajectory error comparison of different SLAM algorithms on TUM dataset m |
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| 算法 | RMSEA | | σ | | xyz | rpy | halfphere | static | | xyz | rpy | halfphere | static | | DS-SLAM[18] | 0.0247 | 0.4442 | 0.0303 | 0.0081 | | 0.0161 | 0.2350 | 0.0159 | 0.0036 | | SG-SLAM[19] | 0.0152 | 0.0324 | 0.0268 | 0.0073 | | 0.0075 | 0.0187 | 0.0134 | 0.0034 | | OVD-SLAM[20] | 0.0135 | 0.0349 | 0.0229 | 0.0068 | | 0.0068 | 0.0211 | 0.0111 | 0.0030 | | CFP-SLAM[11] | 0.0141 | 0.0368 | 0.0237 | 0.0066 | | 0.0072 | 0.0230 | 0.0114 | 0.0030 | | 本研究 | 0.0152 | 0.0294 | 0.0214 | 0.0058 | | 0.0070 | 0.0149 | 0.0112 | 0.0027 |
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