A Method of Spatial Place Representation Based on Biological Place Cells Firing
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摘要: 为实现运行体智能自主定位,该文提出基于生物位置细胞放电机理的空间位置表征方法。首先建立运行体空间位置与运行体和不同路标之间距离的对应关系,以两种不同的空间覆盖方式构建位置细胞图,然后利用感知的距离信息激发位置细胞放电估计运行体位置,并分析了模型中各参数对空间位置表征和定位性能的影响。仿真结果表明,两种方法均能通过构建的位置细胞图实现空间位置表征和自主定位,但等间隔离散空间构建位置细胞图方法受距离间隔影响较大,而任意探索构建位置细胞图方法从生物自主感知空间位置的角度出发,通过选择合适的距离阈值和运动训练时间构建位置细胞图,能够更好地完成运行体空间位置表征并且定位精度也较高。Abstract: In order to realize intelligent and autonomous navigation of vehicles, a method of spatial place representation based on biological place cells firing is proposed. A relationship is built that the spatial location of vehicle is corresponding with the distances between the vehicle and different landmarks, and a map of place cells is constructed in two different ways of space coverage. Then using the real-time distances sensed inspires place cells firing so as to estimate the location of the vehicle. An analysis is carried out about different parameters in the model influence on spatial location expression and the performance of positioning. The simulation results show that both two ways can realize location expression and autonomous positioning through using the map of place cells. The way that the space is separated equally is influenced by the distance interval greatly, and the way of building the map of place cells through exploring randomly, starting off with the perspective of sensing spatial location autonomously, can finish spatial location expression and autonomous positioning better through choosing appropriate interval and trained time.
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Key words:
- Autonomous navigation /
- Biological positioning /
- Spatial representation /
- Place cell
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