Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World
Sen Zhang,Jing Zhang,Dacheng Tao,Sen Zhang,Jing Zhang,Dacheng Tao
Monocular visual odometry (VO) has attracted extensive research attention by providing real-time vehicle motion from cost-effective camera images. However, state-of-the-art optimization-based monocular VO methods suffer from the scale inconsistency problem for long-term predictions. Deep learning has recently been introduced to address this issue by leveraging stereo sequences or ground-truth moti...
