将正态分布变换(NDT)应用于基于扫描匹配的SLAM中，实现了家庭服务机器人较大规模室内环境下的建图。
Normal Distributions Transform (NDT) is used in scan-matching based SLAM, and map-building is implemented in larger scale indoor environment by home service robots.
多编码环境下的说话人确认常常遇到训练和测试语音编码不匹配问题，导致性能显著下降。
The code mismatch problem in speaker verification systems in multi-code environment always causes significant performance deterioration.
机器人从成功匹配的图像中获得当前所处的环境信息。
The robot learns about the environmental information from successfully image matching.
应用推荐