Research on Monocular Visual Odometry Based on 3D-2D Motion Estimation

Author(s):  
Yao Zhang ◽  
Yanduo Zhang



Author(s):  
Kai Cao ◽  
Xuemeng Yang ◽  
Song Gao ◽  
Chaobo Chen ◽  
Jiaoru Huang ◽  
...  


2017 ◽  
Vol 2017 (19) ◽  
pp. 62-69 ◽  
Author(s):  
Suvam Bag ◽  
Vishwas Venkatachalapathy ◽  
RaymondW. Ptucha


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2837 ◽  
Author(s):  
Mohamed Aladem ◽  
Samir Rawashdeh

Vision-based motion estimation is an effective means for mobile robot localization and is often used in conjunction with other sensors for navigation and path planning. This paper presents a low-overhead real-time ego-motion estimation (visual odometry) system based on either a stereo or RGB-D sensor. The algorithm’s accuracy outperforms typical frame-to-frame approaches by maintaining a limited local map, while requiring significantly less memory and computational power in contrast to using global maps common in full visual SLAM methods. The algorithm is evaluated on common publicly available datasets that span different use-cases and performance is compared to other comparable open-source systems in terms of accuracy, frame rate and memory requirements. This paper accompanies the release of the source code as a modular software package for the robotics community compatible with the Robot Operating System (ROS).



IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 1952-1961
Author(s):  
Yan Wang ◽  
Hui-qi Miao ◽  
Lei Guo


Author(s):  
Tongwei Lu ◽  
Shihui Ai ◽  
Yudian xiong ◽  
Yongyuan Jiang




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