1. Wang, Y.B., Liang, W.S., Zhao, Y.: Improved RGB feature point detection algorithm for visual SLAM. Internet Things Technol. 12(09), 17–19+23 (2022)
2. Ding, Z.L.: Research and Implementation of Depth Camera-Based Vision SLAM Technology for Mobile Robots. Northeast Petroleum University (2022)
3. Jürgen S., Stéphane M., Engelhard, N., Pomerleau, F., Burgard, W., et al.: Towards a benchmark for RGB-D SLAM evaluation. Proc. of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf. (RSS) (2011)
4. Sujiwo, A., Ando, T., Takeuchi, E., Ninomiya, Y., Edahiro, M.: Monocular vision-based localization using orb-slam with lidar-aided mapping in real-world robot challenge (special issue on real world robot challenge in tsukuba: autonomous technology for coexistence with human beings). J. Robot. Mechatron. 28 (2016)
5. Lv, X.W.: Research on SLAM Algorithm Based on RGB-D Data. Beijing Institute of Technology (2016)