首页>
外国专利>
NEURAL NETWORK ARCHITECTURE METHOD FOR DEEP ODOMETRY ASSISTED BY STATIC SCENE OPTICAL FLOW
NEURAL NETWORK ARCHITECTURE METHOD FOR DEEP ODOMETRY ASSISTED BY STATIC SCENE OPTICAL FLOW
展开▼
机译:静态场景光流辅助的深层卵巢神经网络结构方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method of visual odometry for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs includes instructions, which when executed by a computing device, causes the computing device to perform the following steps comprising: extracting representative features from a pair input images in a first convolution neural network (CNN) in a visual odometry model; merging, in a first merge module, outputs from the first CNN; decreasing feature map size in a second CNN; generating a first flow output for each layer in a first deconvolution neural network (DNN); merging, in a second merge module, outputs from the second CNN and the first DNN; generating a second flow output for each layer in a second DNN; and reducing accumulated errors in a recurrent neural network (RNN).
展开▼