融合扩张卷积网络与SLAM的无监督单目深度估计 下载: 1189次
戴仁月, 方志军, 高永彬. 融合扩张卷积网络与SLAM的无监督单目深度估计[J]. 激光与光电子学进展, 2020, 57(6): 061007.
Renyue Dai, Zhijun Fang, Yongbin Gao. Unsupervised Monocular Depth Estimation by Fusing Dilated Convolutional Network and SLAM[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061007.
[1] Pan XL, You YR, Wang ZY, et al.Virtual to real reinforcement learning for autonomous driving[C]∥Proceedings of the British Machine Vision Conference 2017, September 2017, London, UK.UK: BMVA Press, 2017: 11.
[2] 曾昭鹏, 张江乐, 魏志尚, 等. 一种基于智能手机成像的三维重建方法[J]. 激光与光电子学进展, 2018, 55(11): 111502.
[3] Michalos G, Karagiannis P, Makris S, et al. Augmented reality (AR) applications for supporting human-robot interactive cooperation[J]. Procedia CIRP, 2016, 41: 370-375.
[4] Zhou TH, BrownM, SnavelyN, et al. Unsupervised learning of depth and ego-motion from video[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 6612- 6621.
[5] EigenD, PuhrschC, FergusR. Depth map prediction from a single image using a multi-scale deep network[C]∥Advances in Neural Information Processing Systems, December 8-13, 2014, Montreal, Quebec, Canada. Canada: NIPS, 2014: 2366- 2374.
[6] EigenD, FergusR. Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015: 2650- 2658.
[7] Liu FY, Shen CH, Lin GS. Deep convolutional neural fields for depth estimation from a single image[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 2015: 5162- 5170.
[8] Wang A J, Fang Z J, Gao Y B, et al. Depth estimation of video sequences with perceptual losses[J]. IEEE Access, 2018, 6: 30536-30546.
[9] TosiF, AleottiF, PoggiM, et al. Learning monocular depth estimation infusing traditional stereo knowledge[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June 16-20, 2019, Long Beach, CA. New York: IEEE, 2019: 9799- 9809.
[10] 李阳, 陈秀万, 王媛, 等. 基于深度学习的单目图像深度估计的研究进展[J]. 激光与光电子学进展, 2019, 56(19): 190001.
[11] GargR, Vijay K B G, Carneiro G, et al. Unsupervised CNN for single view depth estimation: geometry to the rescue[M] ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9912: 740- 756.
[12] MayerN, IlgE, HausserP, et al. A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016: 4040- 4048.
[13] Zhan HY, GargR, Weerasekera CS, et al. Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018: 340- 349.
[14] 李素梅, 雷国庆, 范如. 基于卷积神经网络的深度图超分辨率重建[J]. 光学学报, 2017, 37(12): 1210002.
[15] Zhou XY, Zheng JQ, Yang G Z. Atrous convolutional neural network ( ACNN) for biomedical semantic segmentation with dimensionally lossless feature maps[J/OL]. ( 2019-01-26)[2019-07-03]. https:∥arxiv.gg363.site/abs/1901. 09203.
[16] Chen S, Wang L. An improved SIFT feature matching based on RANSAC algorithm[J]. Information Technology, 2016, 40(12): 39-43.
[17] Shi GJ, Xu XY, Dai YP. SIFT feature point matching based on improved RANSAC algorithm[C]∥2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, August 26-27, 2013, Hangzhou, China. New York: IEEE, 2013: 474- 477.
[18] 陈健武, 全思博, 全燕鸣, 等. 双二维激光雷达相对位姿的标定方法[J]. 中国激光, 2017, 44(10): 1004005.
[19] Kingma DP, Ba J. Adam: a method for stochastic optimization[J/OL]. ( 2017-01-30)[2019-07-03]. https:∥arxiv.org/abs/1412. 6980.
[20] Luo C X, Yang Z H, Wang P, et al. Every pixel counts ++: joint learning of geometry and motion with 3D holistic understanding[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 1.
[21] Li RH, WangS, Long ZQ, et al. UnDeepVO: monocular visual odometry through unsupervised deep learning[C]∥2018 IEEE International Conference on Robotics and Automation (ICRA), May 21-25, 2018, Brisbane, QLD, Australia. New York: IEEE, 2018: 7286- 7291.
[22] Kumar A RS, Bhandarkar SM, PrasadM. Monocular depth prediction using generative adversarial networks[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 18-22, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018: 413- 421.
戴仁月, 方志军, 高永彬. 融合扩张卷积网络与SLAM的无监督单目深度估计[J]. 激光与光电子学进展, 2020, 57(6): 061007. Renyue Dai, Zhijun Fang, Yongbin Gao. Unsupervised Monocular Depth Estimation by Fusing Dilated Convolutional Network and SLAM[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061007.