论文标题
视觉位置识别
Visual Place Recognition
论文作者
论文摘要
视觉位置识别会影响自动驾驶的安全性和准确性。为了准确识别位置，本文研究了基于HMM过滤器和HMM更平滑的视觉位置识别算法。首先，我们在堪培拉市建造了交通状况。然后，执行了HMM过滤器和HMM更平滑的数学模型。最后，根据算法预测车辆位置。实验结果表明，就预测准确性而言，HMM更平滑于HMM过滤器。
Visual position recognition affects the safety and accuracy of automatic driving. To accurately identify the location, this paper studies a visual place recognition algorithm based on HMM filter and HMM smoother. Firstly, we constructed the traffic situations in Canberra city. Then the mathematical models of the HMM filter and HMM smoother were performed. Finally, the vehicle position was predicted based on the algorithms. Experiment results show that HMM smoother is better than HMM filter in terms of prediction accuracy.
