A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms

Author:

Jeong Eunju,Lee Jaun,Kim Pyojin

Publisher

Springer Nature Singapore

Reference12 articles.

1. Bian J, Li Z, Wang N, Zhan H, Shen C, Cheng M, Reid I (2019) Unsupervised scale-consistency depth and ego-motion learning from monocular video. In: 33rd conference on neural information processing systems, Vancouver, Canada

2. Delmerico J, Scaramuzza D (2018) A benchmark comparison of monocular visual-inertial odometry algorithms for flying robots. In: IEEE international conference on robotics and automation, Brisbane, Australia, pp. 2502–2509

3. Geiger A, Lenz P, Stiller C, Urtasun R (2013) Vision meets robotics: the KITTI dataset. Int J Rob Res 32(11):1231–1237

4. He M, Zhu C, Huang Q, Ren B (2019) A review of monocular visual odometry. Vis Comput 36(2):1053–1065

5. Kasar A (2019) Benchmarking and comparing popular visual SLAM algorithms. Asian J Inf Technol, ISSN-2350-1146

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1. DPL-SLAM: A SLAM System by Deep Learning Point Features and Line Features Integration;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06

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