DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features

Understand

As the foundation of driverless vehicle and intelligent robots, Simultaneous Localization and Mapping(SLAM) has attracted much attention these days.

• However, non-geometric modules of traditional SLAM algorithms are limited by data association tasks and have become a bottleneck preventing the development of SLAM.
• To deal with such problems, many researchers seek to Deep Learning for help.
• But most of these studies are limited to virtual datasets or specific environments, and even sacrifice efficiency for accuracy.