• DOI:10.1109/ACCESS.2020.3025557
Corpus ID: 222137485

Deep Monocular Visual Odometry for Ground Vehicle

@article{Wang2020DeepMV,
  title={Deep Monocular Visual Odometry for Ground Vehicle},
  author={Xiangwei Wang and H. Zhang},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={175220-175229}
}

Xiangwei Wang, H. Zhang

Published 2020

Computer Science

IEEE Access

Monocular visual odometry, with the ability to help robots to locate themselves in unexplored environments, has been a crucial research problem in robotics. Though the existed learning-based end-to-end methods can reduce engineering efforts such as accurate camera calibration and tedious case-by-case parameter tuning, the accuracy is still limited. One of the main reasons is that previous works aim to learn six-degrees-of-freedom motions despite the constrained motion of a ground vehicle by its… CONTINUE READING

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