Monocular Visual Odometry

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (71 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
  25 Sep 2017 5 repositories listed
  This paper presents a novel end-to-end framework for monocular VO by using deep Recurrent Convolutional Neural Networks (RCNNs).
• Unsupervised Scale-consistent Depth Learning from Video
  25 May 2021 2 repositories listed
  We propose a monocular depth estimator SC-Depth, which requires only unlabelled videos for training and enables the scale-consistent prediction at inference time.
• DF-VO: What Should Be Learnt for Visual Odometry?
  1 Mar 2021 2 repositories listed
  More surprisingly, they show that the well-trained networks enable scale-consistent predictions over long videos, while the accuracy is still inferior to traditional methods because of ignoring geometric information.
• Visual Odometry Revisited: What Should Be Learnt?
  21 Sep 2019 2 repositories listed
  In this work we present a monocular visual odometry (VO) algorithm which leverages geometry-based methods and deep learning.
• An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
  16 Apr 2025 1 repository listed
  To this end, we construct a self-supervised online adaptation framework for monocular visual odometry aided by an online-updated depth estimation module.
• Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrain
  18 Jul 2024 1 repository listed
  This paper addresses the challenge of improving learning-based monocular visual odometry (VO) in underwater environments by integrating principles of underwater optical imaging to manipulate optical flow estimation.
• Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry
  3 Jun 2024 1 repository listed
  Monocular visual odometry is a key technology in a wide variety of autonomous systems.
• Deep Event Visual Odometry
  15 Dec 2023 1 repository listed
  To remove the dependency on additional sensors and to push the limits of using only a single event camera, we present Deep Event VO (DEVO), the first monocular event-only system with strong performance on a large number…
• Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines
  29 Sep 2023 1 repository listed
  With the rise of deep learning, there is a fundamental change in visual simultaneous localization and mapping (SLAM) algorithms toward developing different modules trained as end-to-end pipelines.
• Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
  10 May 2023 1 repository listed
  In this work, we deal with the monocular visual odometry as a video understanding task to estimate the 6 degrees of freedom of a camera's pose.
• Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry
  4 Oct 2022 1 repository listed
  Monocular visual odometry consists of the estimation of the position of an agent through images of a single camera, and it is applied in autonomous vehicles, medical robots, and augmented reality.
• Deep Patch Visual Odometry
  8 Aug 2022 1 repository listed
  DPVO disproves this assumption, showing that it is possible to get the best accuracy and efficiency by exploiting the advantages of sparse patch-based matching over dense flow.
• TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
  14 Nov 2021 1 repository listed
  In this paper, we present TANDEM a real-time monocular tracking and dense mapping framework.
• MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
  14 Sep 2021 1 repository listed
  A key aspect of our approach is to use an appropriate motion model that can help existing self-supervised monocular VO (SSM-VO) algorithms to overcome issues related to the local minima within their self-supervised loss…
• Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
  12 Sep 2021 1 repository listed
  In contrast to most other approaches, our framework can also handle rotation-only motions that are particularly challenging for monocular odometry systems.
• Instant Visual Odometry Initialization for Mobile AR
  30 Jul 2021 1 repository listed
  However, standard visual odometry or SLAM algorithms require motion parallax to initialize (see Figure 1) and, therefore, suffer from delayed initialization.
• OV²SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
  8 Feb 2021 1 repository listed
  Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-time capability.
• WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
  27 Jul 2020 1 repository listed
  In this work we present WGANVO, a Deep Learning based monocular Visual Odometry method.
• EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
  30 Jun 2020 1 repository listed
  The codes and the link for the dataset are publicly available at https://github.
• Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization
  29 May 2019 1 repository listed
  This paper proposes a novel approach for extending monocular visual odometry to a stereo camera system.
• Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes
  9 Mar 2019 1 repository listed
  Dynamic scenes that contain both object motion and egomotion are a challenge for monocular visual odometry (VO).