Real-time monocular depth estimation for low-power embedded systems using deep learning

Author:

Liu Shuyao,Zhao Shuo,Zhang Pu,Cheng JingjingORCID

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Reference23 articles.

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2. Tinghui, Z., Brown, M., Snavely, N., Lowe, D.G.: Unsupervised learning of depth and ego-motion from video. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1851–1858 (2017)

3. Sim, R., Elinas, P., Griffin, M.: Visio­based SLAM using the Rao­Blackwellised particle filter. In: IJCAI Workshop on Reasoning with Uncertainty in Robotics, vol. 14, no. 1, pp. 9–16 (2005)

4. Baojin, Z., Xiao, G., Jiajun, O.: Policy-based monocular vision autonomous quadrotor obstacle avoidance method. J. Phys. Conf. Ser. 2083(3), 032025 (2021)

5. Mccormac, J., Handa, A., Davison, A., Leutenegger, S.: Semantic fusion: dense 3D semantic mapping with convolutional neural networks. In: International Conference on Robotics and Automation, pp. 4628–4635 (2017)

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