[1] 曾仕峰,吴锦均,叶智文,等.基于ROS的无人驾驶智能车[J].物联网技术,2020,10(6):62-63,66. ZENG S F,WU J J,YE Z W,et al.ROS based driverless intelligent car[J].Internet of Things Technologies,2020,10(6):62-63,66.(in Chinese) [2] 赵妍,解迎刚,陈莉莉.基于SLAM算法的机器人智能激光定位技术的研究[J].激光杂志,2019,40(7):169-173. ZHAO Y,XIE Y G,CHEN L L.Research on robot intelligent laser localization based on SLAM algorithm[J].Laser Journal,2019,40(7):169-173.(in Chinese) [3] LIU X T,SINHA A,ISHII M,et al.Dense depth estimation in monocular endoscopy with self-supervised learning methods[J].IEEE Transactions on Medical Imaging,2019,39(5):1438-1447. [4] ELKERDAWY S,ZHANG H,RAY N.Lightweight monocular depth estimation model by joint end-to-end filter pruning[C]//Proceedings of International Conference on Image Processing.Washington D.C.,USA:IEEE Press,2019:4290-4294. [5] WOFK D,FANGCHANG M A,YANG T J,et al.Fast depth:fast monocular depth estimation on embedded systems[C]//Proceedings of International Conference on Robotics and Automation.Washington D.C.,USA:IEEE Press,2019:6101-6108. [6] POGGI M,ALEOTTI F,TOSI F,et al.Towards real-time unsupervised monocular depth estimation on CPU[C]//Proceedings of RSJ International Conference on Intelligent Robots and Systems.Washington D.C.,USA:IEEE Press,2018:5848-5854. [7] EIGEN D,FERGUS R.Predicting depth,surface normals and semantic labels with a common multi-scale convolutional architecture[C]//Proceedings of International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:2650-2658. [8] LIU F Y,SHEN C H,LIN G S,et al.Learning depth from single monocular images using deep convolutional neural fields[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(10):2024-2039. [9] LAINA I,RUPPRECHT C,BELAGIANNIS V,et al.Deeper depth prediction with fully convolutional residual networks[C]//Proceedings of 2016 International Conference on 3D Vision.Washington D.C.,USA:IEEE Press,2016:239-248. [10] TEED Z,DENG J.Deepv2d:video to depth with differentiable structure from motion[EB/OL].[2020-08-05].https://arxiv.org/pdf/1812.04605.pdf. [11] GODARD C,MAC AODHA O,FIRMAN M,et al.Digging into self-supervised monocular depth estimation[C]//Proceedings of International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2019:3828-3838. [12] YIN W,LIU Y F,SHEN C H,et al.Enforcing geometric constraints of virtual normal for depth prediction[C]//Proceedings of International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2019:5684-5693. [13] LEE J H,HAN M K,KO D W,et al.From big to small:multi-scale local planar guidance for monocular depth estimation[EB/OL].[2020-08-05].https://arxiv.org/pdf/1907.10326v1.pdf. [14] TOSI F,ALEOTTI F,POGGI M,et al.Learning monocular depth estimation infusing traditional stereo knowledge[C]//Proceedings of Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2019:9799-9809. [15] GUIZILINI V,LI J,AMBRUS R,et al.Robust semi-supervised monocular depth estimation with reprojected distances[C]//Proceedings of Conference on Robot Learning.Washington D.C.,USA:IEEE Press,2020:503-512. [16] HUANG G,LIU Z,VAN DER MAATEN L,et al.Densely connected convolutional networks[C]//Proceedings of Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:4700-4708. [17] YU F,KOLTUN V.Multi-scale context aggregation by dilated convolutions[EB/OL].[2020-08-05].https://arxiv.org/pdf/1511.07122.pdf. [18] HU J J,OZAY M,ZHANG Y,et al.Revisiting single image depth estimation:toward higher resolution maps with accurate object boundaries[C]//Proceedings of Winter Conference on Applications of Computer Vision.Washington D.C.,USA:IEEE Press,2019:1043-1051. [19] IOFFE S,SZEGEDY C.Batch normalization:accelerating deep network training by reducing internal covariate shift[EB/OL].[2020-08-05].http://proceedings.mlr.press/v37/ioffe15.pdf. [20] HINTON G E,SRIVASTAVA N,KRIZHEVSKY A,et al.Improving neural networks by preventing co-adaptation of feature detectors[J].Computer Ence,2012,3(4):212-223. [21] 王泉德,张松涛.基于多尺度特征融合的单目图像深度估计[J].华中科技大学学报(自然科学版),2020,48(5):7-12. WANG Q D,ZHANG S T.Monocular image depth estimation based on multi-scale feature fusion[J].Journal of Huazhong University of Science and Technology (Natural Science Edition),2020,48(5):7-12.(in Chinese) [22] CHEN L C,PAPANDREOU G,SCHROFF F,et al.Rethinking atrous convolution for semantic image segmentation[EB/OL].[2020-08-05].https://arxiv.org/pdf/1706.05587.pdf. [23] RICCI E,OUYANG W L,WANG X G,et al.Monocular depth estimation using multi-scale continuous CRFs as sequential deep networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2018,41(6):1426-1440. |