Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Zhan, Huangying, Garg, Ravi, Weerasekera, Chamara Saroj, Li, Kejie, Agarwal, Harsh, Reid, Ian M.·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
DOI 10.1109/cvpr.2018.00043

Cited by (698)

Items 301–400 of 698

  1. The Second Monocular Depth Estimation Challenge
    Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James Elder, Richard Bowden et al. · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  2. Flow-based SLAM: From geometry computation to learning
    Zike Yan, Hongbin Zha · 2019 · Virtual Reality & Intelligent Hardware
  3. A High-Accuracy Indoor-Positioning Method with Automated RGB-D Image Database Construction
    Runzhi Wang, Wenhui Wan, Kaichang Di, Ruilin Chen, Xiaoxue Feng · 2019 · Remote Sensing
  4. P2D: a self-supervised method for depth estimation from polarimetry
    Marc Blanchon, Désiré Sidibé A, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Mériaudeau · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  5. Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
    Shu Kong, Charless C. Fowlkes · 2019 · arXiv (Cornell University)
  6. WiFi Similarity-Based Odometry
    Khairuldanial Ismail, Ran Liu, Achala Athukorala, Benny Kai Kiat Ng, Chau Yuen, U-Xuan Tan · 2023 · IEEE Transactions on Automation Science and Engineering
  7. UVMO: Deep unsupervised visual reconstruction-based multimodal-assisted odometry
    Songrui Han, Mingchi Li, Hongying Tang, Yaozhe Song, Guanjun Tong · 2024 · Pattern Recognition
  8. A Robust Monocular and Binocular Visual Ranging Fusion Method Based on an Adaptive UKF
    Jiake Wang, Yong Guan, Zhenjia Kang, Pengzhan Chen · 2024 · Sensors
  9. KPDepth-VO: Self-Supervised Learning of Scale-Consistent Visual Odometry and Depth With Keypoint Features From Monocular Video
    Changhao Wang, Guanwen Zhang, Zhengyun Cheng, Wei Zhou · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  10. Self-Supervised Learning of Depth and Ego-Motion From Videos by Alternative Training and Geometric Constraints from 3-D to 2-D
    Jiaojiao Fang, Guizhong Liu · 2022 · IEEE Transactions on Cognitive and Developmental Systems
  11. Self-Supervised Monocular Depth Estimation via Binocular Geometric Correlation Learning
    Bo Peng, Lin Sun, Jianjun Lei, Bingzheng Liu, Haifeng Shen, Wanqing Li, Qingming Huang · 2024 · ACM Transactions on Multimedia Computing Communications and Applications
  12. Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation
    Nimet Kaygusuz, Oscar Méndez, Richard Bowden · 2021 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  13. A Multifeature-Assisted Road and Vehicle Detection Method Based on Monocular Depth Estimation and Refined U-V Disparity Mapping
    Weixuan Ma, Sa Zhu · 2022 · IEEE Transactions on Intelligent Transportation Systems
  14. On the Synergies between Machine Learning and Stereo: a Survey
    Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia · 2020 · arXiv (Cornell University)
  15. RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
    Mertalp Ocal, Armin Mustafa · 2020 · arXiv (Cornell University)
  16. Towards Utilizing Deep Uncertainty In Traditional SLAM
    Mahdi Abolfazli Esfahani, Keyu Wu, Shenghai Yuan, Han Wang · 2019 · International Conference on Control and Automation
  17. MaskVO: Self-Supervised Visual Odometry with a Learnable Dynamic Mask
    Weihao Xuan, Ruijie Ren, Siyuan Wu, Changhao Chen · 2022 · IEEE/SICE International Symposium on System Integration (SII)
  18. From Pixels to Precision: A Survey of Monocular Visual Odometry in Digital Twin Applications
    Arman Neyestani, Francesco Picariello, Imran Ahmed, Pasquale Daponte, Luca De Vito · 2024 · Sensors
  19. Multi-degree-of-freedom unmanned aerial vehicle control combining a hybrid brain-computer interface and visual obstacle avoidance
    Shanghong Xie, Wei Gao, Zhen Zeng, Q. M. J. Wu, Qian Huang, Nianming Ban, Qian Wu, Jiahui Pan · 2024 · Engineering Applications of Artificial Intelligence
  20. Self-supervised monocular Depth estimation with multi-scale structure similarity loss
    Chenggong Han, Deqiang Cheng, Qiqi Kou, Xiaoyi Wang, Liangliang Chen, Jiamin Zhao · 2022 · Multimedia Tools and Applications
  21. Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
    Xihao Chen, Zhiwei Xiong, Zhen Cheng, Jiayong Peng, Yueyi Zhang, Zheng-Jun Zha · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  22. AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation
    Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong · 2024 · Lecture notes in computer science
  23. Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs
    Madhu Babu Vankadari, Swagat Kumar, Anima Majumder, Kaushik Das · 2019 · International Joint Conference on Artificial Intelligence
  24. Efficient and High-Quality Monocular Depth Estimation via Gated Multi-Scale Network
    Lixiong Lin, Guohui Huang, Yanjie Chen, Liwei Zhang, Bingwei He · 2020 · IEEE Access
  25. Mesoscopic photogrammetry with an unstabilized phone camera
    Kevin C. Zhou, Colin Cooke, Jaehee Park, Ruobing Qian, Roarke W. Horstmeyer, Joseph A. Izatt, Sina Farsiu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  26. Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation
    Xuezhi Xiang, Xiangdong Kong, Yujian Qiu, Kaixu Zhang, Ning Lv · 2021 · Neural Processing Letters
  27. Control of the Final-Phase of Closed-Loop Visual Grasping using Image-Based Visual Servoing
    Jesse Haviland, Feras Dayoub, Peter Corke · 2020 · arXiv (Cornell University)
  28. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
    2023
  29. On Robust Cross-view Consistency in Self-supervised Monocular Depth Estimation
    Haimei Zhao, Jing Zhang, Zhuo Chen, Bo Yuan, Dacheng Tao · 2024 · Machine Intelligence Research
  30. ProDepth: Boosting Self-supervised Multi-frame Monocular Depth with Probabilistic Fusion
    Sungmin Woo, Won Joon Lee, Woo Jin Kim, Dogyoon Lee, Sangyoun Lee · 2024 · Lecture notes in computer science
  31. Self-Supervised Monocular Depth Estimation From Videos via Adaptive Reconstruction Constraints
    Xinchen Ye, Yuxiang Ou, Biao Wu, Rui Xu, Haojie Li · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
  32. Spatiotemporal Dual-Stream Network for Visual Odometry
    Chang Xu, Taiping Zeng, Yifan Luo, Fei Song, Bailu Si · 2025 · IEEE Robotics and Automation Letters
  33. Gaussian Weighted Deep Modeling for Improved Depth Estimation in Monocular Images
    Jianmin Jiang, Ehab H. El‐Shazly, Xiaoyan Zhang · 2019 · IEEE Access
  34. Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case
    Mikel Etxeberria-Garcia, Maider Zamalloa, Nestor Arana-Arexolaleiba, Mikel Labayen · 2022 · IEEE Access
  35. Survey on Monocular Depth Estimation for Unmanned Aerial Vehicles using Deep Learning
    Horatiu Florea, Sergiu Nedevschi · 2022 · IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)
  36. F 2 Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis
    Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang · 2024 · Engineering Applications of Artificial Intelligence
  37. Unsupervised Learning of Accurate Camera Pose and Depth From Video Sequences With Kalman Filter
    Yan Wang, Yu-Fan Xu · 2019 · IEEE Access
  38. Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos With Spatiotemporal Loop Consistency
    Taewoo Kim, Kwonyoung Ryu, Kyeongseob Song, Kuk‐Jin Yoon · 2020 · IEEE Robotics and Automation Letters
  39. Novel Hybrid Neural Network for Dense Depth Estimation using On-Board Monocular Images
    Shaocheng Jia, Xin Pei, Zi Yang, Shan Tian, Yun Yue · 2020 · Transportation Research Record Journal of the Transportation Research Board
  40. Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments
    Yasin Almalıoğlu, Àngel Santamaria‐Navarro, Benjamin J. Morrell, Ali–akbar Agha–mohammadi · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  41. Unsupervised Learning of Monocular Depth and Ego-Motion with Optical Flow Features and Multiple Constraints
    Baigan Zhao, Yingping Huang, Wenyan Ci, Xing Hu · 2022 · Sensors
  42. RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry
    Claudio Cimarelli, Hriday Bavle, Jose Luis Sanchez-Lopez, Holger Voos · 2022 · Italian National Conference on Sensors
  43. On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion
    Brandon Wagstaff, Valentin Peretroukhin, Jonathan W. Kelly · 2022 · IEEE Robotics and Automation Letters
  44. Single image depth estimation based on sculpture strategy
    Shu Chen, Xiang Fan, Zhengdong Pu, Jianquan Ouyang, Beiji Zou · 2022 · Knowledge-Based Systems
  45. Street Floor Segmentation for a Wheeled Mobile Robot
    Junhyuk Hyun, Suhan Woo, Euntai Kim · 2022 · IEEE Access
  46. CbwLoss: Constrained Bidirectional Weighted Loss for Self-Supervised Learning of Depth and Pose
    Fei Wang, Jun Sheng Cheng, Penglei Liu · 2023 · IEEE Transactions on Intelligent Transportation Systems
  47. Unsupervised detail-preserving network for high quality monocular depth estimation
    Mingliang Zhang, Xinchen Ye, Xin Fan · 2020 · Neurocomputing
  48. An Object Context Integrated Network for Joint Learning of Depth and Optical Flow
    Mingliang Zhai, Xuezhi Xiang, Ning Lv, Xiangdong Kong, Abdulmotaleb El Saddik · 2020 · IEEE Transactions on Image Processing
  49. Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
    Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu · 2020 · arXiv (Cornell University)
  50. CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimation
    Jiawei Guo, Jieming Ma, Feiyang Sun, Zhiqiang Gao, Ángel F. García‐Fernández, Hai‐Ning Liang, Xiaohui Zhu, Weiping Ding · 2025 · Information Fusion
  51. EUM-SLAM: An Enhancing Underwater Monocular Visual SLAM With Deep-Learning-Based Optical Flow Estimation
    Xiaotian Wang, Xinnan Fan, Yueyue Liu, Yuanxue Xin, Pengfei Shi · 2025 · IEEE Transactions on Instrumentation and Measurement
  52. ActiveGAMER: Active GAussian Mapping through Efficient Rendering
    Liyan Chen, Huangying Zhan, Kai Chen, Xiangyu Xu, Qingan Yan, Changjiang Cai, Yi Xu · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  53. Neural vision-based semantic 3D world modeling
    Sotirios Papadopoulos, Ioannis Mademlis, Ioannis Pitas · 2021 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  54. DecoupledPoseNet: Cascade Decoupled Pose Learning for Unsupervised Camera Ego-Motion Estimation
    Wenhui Zhou, Hua Zhang, Zhengmao Yan, Weisheng Wang, Lili Lin · 2022 · IEEE Transactions on Multimedia
  55. Robust visual odometry using sparse optical flow network
    Qiang Liu, Baojia Chen · 2022 · Engineering Applications of Artificial Intelligence
  56. AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation
    Nimet Kaygusuz, Oscar Méndez, Richard Bowden · 2022 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  57. Vision-aided intelligent and adaptive vehicle pose estimation during GNSS outages
    Qimin Xu, Yuan Tian, G Ruan, Bin Chang · 2023 · Measurement Science and Technology
  58. Unsupervised learning of depth estimation based on attention model and global pose optimization
    Renyue Dai, Yongbin Gao, Zhijun Fang, Xiaoyan Jiang, Anjie Wang, Juan Zhang, Cengsi Zhong · 2019 · Signal Processing Image Communication
  59. VONAS: Network Design in Visual Odometry using Neural Architecture Search
    Xing Cai, Lanqing Zhang, Chengyuan Li, Ge Li, Thomas H. Li · 2020 · ACM International Conference on Multimedia (ACM MM)
  60. OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video
    Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou · 2020 · IEEE Transactions on Cognitive and Developmental Systems
  61. Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization
    Shihao Jiang, Dylan Campbell, Miaomiao Liu, Stephen Jay Gould, Richard I. Hartley · 2020 · International Conference on 3D Vision (3DV)
  62. Encoder-Decoder Structure With the Feature Pyramid for Depth Estimation From a Single Image
    Mengxia Tang, Songnan Chen, Ruifang Dong, Jiangming Kan · 2021 · IEEE Access
  63. Self-Supervised Monocular Scene Decomposition and Depth Estimation
    Sadra Safadoust, Fatma Güney · 2021 · International Conference on 3D Vision (3DV)
  64. Feature-aided Bundle Adjustment Learning Framework for Self-supervised Monocular Visual Odometry
    Weijun Mai, Yoshihiro Watanabe · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  65. Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method
    Sangwon Hwang, MyeongAh Cho, Yuseok Ban, Kyungjae Lee · 2022 · IEEE Access
  66. 3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling
    Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi–Hsuan Tsai · 2022 · Lecture notes in computer science
  67. AcTrak: Controlling a Steerable Surveillance Camera using Reinforcement Learning
    Abdulrahman Fahim, Evangelos E. Papalexakis, Srikanth V. Krishnamurthy, Amit K. Roy–Chowdhury, Lance Kaplan, Tarek Abdelzaher · 2023 · ACM Transactions on Cyber-Physical Systems
  68. FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation
    Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  69. DVONet: Unsupervised Monocular Depth Estimation and Visual Odometry
    Xiangyu Li, Yonghong Hou, Qi Wu, Pichao Wang, Wanqing Li · 2019 · IEEE International Conference on Visual Communications and Image Processing (VCIP)
  70. Geometry understanding from autonomous driving scenarios based on feature refinement
    Mingliang Zhai, Xuezhi Xiang · 2020 · Neural Computing and Applications
  71. Coping With Multiple Visual Motion Cues Under Extremely Constrained Computation Power of Micro Autonomous Robots
    Cheng Hu, Caihua Xiong, Jigen Peng, Shigang Yue · 2020 · IEEE Access
  72. A novel no-sensors 3D model reconstruction from monocular video frames for a dynamic environment
    Ghada M. Fathy, Hanan A. Hassan, Walaa M. Sheta, Fatma A. Omara, Emad Nabil · 2021 · PeerJ Computer Science
  73. Single Image Depth Estimation Using Edge Extraction Network and Dark Channel Prior
    Ying Li, Cheolkon Jung, Jin Young Kim · 2021 · IEEE Access
  74. WPO-Net: Windowed Pose Optimization Network for Monocular Visual Odometry Estimation
    Nivesh Gadipudi, Irraivan Elamvazuthi, Cheng‐Kai Lu, Sivajothi Paramasivam, Steven Weidong Su · 2021 · Sensors
  75. MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
    Marvin Chancán, Michael John Milford · 2020 · arXiv (Cornell University)
  76. Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
    Baoli Sun, Xinchen Ye, Baopu Li, Haojie Li, Zhihui Wang, Rui Xu · 2021 · arXiv (Cornell University)
  77. Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation
    Junjie Hu, Chenyou Fan, Liguang Zhou, Qing Hong Gao, Honghai Liu, Tin Lun Lam · 2023 · IEEE Transactions on Neural Networks and Learning Systems
  78. MBRVO: A Blur Robust Visual Odometry Based on Motion Blurred Artifact Prior
    Jialu Zhang, Jituo Li, Jiaqi Li, Yue Sun, Xinqi Liu, Zhi Zheng, Guodong Lu · 2024 · IEEE Robotics and Automation Letters
  79. Deep panoramic depth prediction and completion for indoor scenes
    Giovanni Pintore, Eva Almansa, Armando Sanchez, Giorgio Paolo Maria Vassena, Enrico Gobbetti · 2024 · Computational Visual Media
  80. RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion
    Tuo Feng, Dongbing Gu · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
  81. Improved appearance loss for deep estimation of image depth
    Ehab H. El‐Shazly, Xiaoyan Zhang, Jianmin Jiang · 2018 · Electronics Letters
  82. Unsupervised Learning of Camera Pose with Compositional Re-estimation
    Seyed shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi, Yang Wang · 2020 · IEEE Winter Conference on Applications of Computer Vision
  83. Transfer2Depth: Dual Attention Network With Transfer Learning for Monocular Depth Estimation
    Chia‐Hung Yeh, Yao-Pao Huang, Chih‐Yang Lin, Chuan‐Yu Chang · 2020 · IEEE Access
  84. Underwater Depth Estimation for Spherical Images
    Jiadi Cui, Lei Jin, Haofei Kuang, Qingwen Xu, Sören Schwertfeger · 2021 · Journal of Robotics
  85. Self-supervised learning of monocular depth using quantized networks
    Keyu Lu, Chengyi Zeng, Yonghu Zeng · 2021 · Neurocomputing
  86. An Unsupervised Approach for Simultaneous Visual Odometry and Single Image Depth Estimation
    Yawen Lu, Guoyu Lu · 2022 · International Joint Conference on Neural Networks (IJCNN)
  87. Estimating Withdrawal Time in Colonoscopies
    Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman · 2023 · Lecture notes in computer science
  88. Towards a Unified Network for Robust Monocular Depth Estimation: Network Architecture, Training Strategy and Dataset
    Mochu Xiang, Yuchao Dai, Feiyu Zhang, Jiawei Shi, Xinyu Tian, Zhensong Zhang · 2023 · International Journal of Computer Vision
  89. AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion
    Lina Liu, Xibin Song, Mengmeng Wang, Yuchao Dai, Yong Liu, Liangjun Zhang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  90. An Unsupervised Monocular Image Depth Prediction Algorithm Based on Multiple Loss Deep Learning
    Xiaojiao Tang, Lifang Chen · 2019 · IEEE Access
  91. Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos
    Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao · 2020 · International Joint Conference on Artificial Intelligence
  92. Unsupervised Monocular Depth Estimation Method Based on Uncertainty Analysis and Retinex Algorithm
    Chuanxue Song, Chunyang Qi, Shixin Song, Feng Xiao · 2020 · Sensors
  93. Densely Connecting Depth Maps for Monocular Depth Estimation
    Jinqing Zhang, Haosong Yue, Xingming Wu, Weihai Chen, Changyun Wen · 2020 · Lecture notes in computer science
  94. Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
    Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held · 2021 · Robotics: Science and Systems
  95. Unsupervised learning of monocular depth and ego-motion with space–temporal-centroid loss
    Junning Zhang, Qunxing Su, Pengyuan Liu, Chao Xu, Yanlong Chen · 2019 · International Journal of Machine Learning and Cybernetics
  96. DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
    Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham · 2019 · arXiv (Cornell University)
  97. Structure-Attentioned Memory Network for Monocular Depth Estimation
    Jing Hai Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang, Kuo-Chin Lien, Junli Gu · 2019 · arXiv (Cornell University)
  98. Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment
    Yunxiao Shi, Jing Hai Zhu, Yi Fang, Kuo-Chin Lien, Junli Gu · 2019 · arXiv (Cornell University)
  99. SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion.
    Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham · 2019 · arXiv (Cornell University)
  100. Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach
    Hemang Chawla, Matti Jukola, Terence Brouns, Elahe Arani, Bahram Zonooz · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)