Browse State-of-the-Art › Visual Odometry
Visual Odometry
124 papers with code · 1 benchmark · 26 datasets archive 2025-07-28
Visual Odometry is an important area of information fusion in which the central aim is to estimate the pose of a robot using data collected by visual sensors.
Source: Bi-objective Optimization for Robust RGB-D Visual Odometry
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| EuRoC MAV (1 row) | CIVO | Brain-Inspired Visual Odometry: Balancing Speed and... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
26 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 124 papers with code (408 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.
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24 Jul 2018 9 repositories listedWe evaluate the model using a calibration dataset with several different lenses and compare the models using the metrics that are relevant for Visual Odometry, i.
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20 Oct 2016 7 repositories listed Syntology ran 1 of 2 samples · 1 unverifiedWe present ORB-SLAM2 a complete SLAM system for monocular, stereo and RGB-D cameras, including map reuse, loop closing and relocalization capabilities.
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25 Sep 2017 5 repositories listedThis paper presents a novel end-to-end framework for monocular VO by using deep Recurrent Convolutional Neural Networks (RCNNs).
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30 Jul 2020 4 repositories listedWe present a solution to the problem of visual odometry from the data acquired by a stereo event-based camera rig.
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3 Apr 2020 4 repositories listed Syntology ran 2 of 3 samples · 1 unverifiedIn this work, we tackle the essential problem of scale inconsistency for self-supervised joint depth-pose learning.
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11 Jan 2019 4 repositories listedWe validate the performance of our system on public datasets and through real-world experiments with multiple sensors.
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17 Apr 2018 4 repositories listedFor trajectory evaluation, we also provide accurate pose ground truth from a motion capture system at high frequency (120 Hz) at the start and end of the sequences which we accurately aligned with the camera and IMU…
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29 Jun 2019 3 repositories listedIn this work, we present two minimal solvers for the stereo relative pose.
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26 May 2017 3 repositories listedThis paper proposes PL-SLAM, a stereo visual SLAM system that combines both points and line segments to work robustly in a wider variety of scenarios, particularly in those where point features are scarce or not…
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12 Dec 2024 2 repositories listedWe further present a synthetic event-based datasets and data generation pipelines for optical flow prediction tasks.
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26 Aug 2024 2 repositories listedThe fusion of both visual and LiDAR measurements is based on a single unified voxel map where the LiDAR module constructs the geometric structure for registering new LiDAR scans and the visual module attaches image…
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7 May 2024 2 repositories listedIn this paper, we improve our previous direct pipeline \textit{Event-based Stereo Visual Odometry} in terms of accuracy and efficiency.
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12 Apr 2023 2 repositories listed Syntology ran 4 of 6 samples · 2 unverifiedKeypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry.
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10 Mar 2021 2 repositories listedThe state-of-the-art method of contrast maximisation recovers the motion from a batch of events by maximising the contrast of the image of warped events.
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1 Mar 2021 2 repositories listedMore 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.
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31 Oct 2020 2 repositories listed Syntology ran 3 of 23 samples · 20 unverifiedWe present the first learning-based visual odometry (VO) model, which generalizes to multiple datasets and real-world scenarios and outperforms geometry-based methods in challenging scenes.
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15 Oct 2020 2 repositories listedThe first challenge is addressed by the use of a convolutional network that learns a multi-class semantic segmentation of the image.
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28 Jul 2020 2 repositories listedThe problem of tracking self-motion as well as motion of objects in the scene using information from a camera is known as multi-body visual odometry and is a challenging task.
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8 Jan 2020 2 repositories listedThe functions can be defined on arbitrary smooth manifolds where the action of a Lie group aligns them.
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23 Dec 2019 2 repositories listedBy making the sampling of inlier-outlier sets from point-pair correspondences fully differentiable within the keypoint learning framework, we show that are able to simultaneously self-supervise keypoint description and…
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21 Sep 2019 2 repositories listedIn this work we present a monocular visual odometry (VO) algorithm which leverages geometry-based methods and deep learning.
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16 Sep 2019 2 repositories listedPlace recognition is a core component of Simultaneous Localization and Mapping (SLAM) algorithms.
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28 Aug 2019 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)To the best of our knowledge, this is the first work to show that deep networks trained using unlabelled monocular videos can predict globally scale-consistent camera trajectories over a long video sequence.
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11 Jun 2019 2 repositories listedIn contrast our method builds on direct visual odometry methods naturally with minimal added computation.
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1 Oct 2018 2 repositories listedReliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms.
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6 Mar 2018 2 repositories listedThis paper presents CAPE, a method to extract planes and cylinder segments from organized point clouds, which processes 640x480 depth images on a single CPU core at an average of 300 Hz, by operating on a grid of planar…
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26 Oct 2016 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)New vision sensors, such as the Dynamic and Active-pixel Vision sensor (DAVIS), incorporate a conventional global-shutter camera and an event-based sensor in the same pixel array.
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20 Sep 2016 2 repositories listedWe present a method to incorporate global orientation information from the sun into a visual odometry pipeline using only the existing image stream, where the sun is typically not visible.
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9 Jul 2016 2 repositories listedWe propose a novel direct sparse visual odometry formulation.
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16 Apr 2025 1 repository listedTo this end, we construct a self-supervised online adaptation framework for monocular visual odometry aided by an online-updated depth estimation module.
Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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