...Yan Xu; Hong Qin; Jiani Huang; Yanyun Wang Purpose Conventional learning-based visual odometry (VO) systems usually use convolutional neural networks (CNN) to extract features, where some important context-related and attention-holding global features might be ignored. Without essential global...

...Erliang Yao; Hexin Zhang; Haitao Song; Guoliang Zhang Purpose To realize stable and precise localization in the dynamic environments, the authors propose a fast and robust visual odometry (VO) approach with a low-cost Inertial Measurement Unit (IMU) in this study. Design/methodology/approach...