Deep Unsupervised Visual Odometry Via Bundle Adjusted Pose Graph Optimization
Guoyu Lu,Guoyu Lu
Unsupervised visual odometry as an active topic has attracted extensive attention, benefiting from its label-free practical value and robustness in real-world scenarios. However, the performance of camera pose estimation and tracking through deep neural network is still not as ideal as most other tasks, such as detection, segmentation and depth estimation, due to the lack of drift correction in th...
