Markov Parallel Tracking and Mapping for Probabilistic SLAM
Zheng Huai Guoquan Huang Zheng Huai Guoquan Huang
Parallel tracking and mapping (PTAM) as a time-efficient framework for simultaneous localization and mapping (SLAM) has been becoming popular in recent years. However, in this paper, we vigilantly point out that the favorite parallel-pipeline design realized by recent proposed SLAM algorithms may lead to inaccurate state estimates which, as a consequence, cannot always guarantee the performance of...