Browse > Robots > Visual Odometry

Visual Odometry

23 papers with code · Robots

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Learning Depth from Monocular Videos using Direct Methods

CVPR 2018 yzcjtr/GeoNet

The ability to predict depth from a single image - using recent advances in CNNs - is of increasing interest to the vision community.

VISUAL ODOMETRY

gvnn: Neural Network Library for Geometric Computer Vision

25 Jul 2016ankurhanda/gvnn

We introduce gvnn, a neural network library in Torch aimed towards bridging the gap between classic geometric computer vision and deep learning.

DEPTH ESTIMATION IMAGE RECONSTRUCTION VISUAL ODOMETRY

PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments

26 May 2017rubengooj/pl-slam

This 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 well-distributed in the image.

VISUAL ODOMETRY

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

CVPR 2018 Huangying-Zhan/Depth-VO-Feat

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner.

DEPTH AND CAMERA MOTION MONOCULAR DEPTH ESTIMATION VISUAL ODOMETRY

Geometry-Aware Learning of Maps for Camera Localization

CVPR 2018 NVlabs/geomapnet

Maps are a key component in image-based camera localization and visual SLAM systems: they are used to establish geometric constraints between images, correct drift in relative pose estimation, and relocalize cameras after lost tracking.

3D POSE ESTIMATION CAMERA LOCALIZATION VISUAL ODOMETRY

CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

1 Oct 2018yan99033/CNN-SVO

Reliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms.

DEPTH ESTIMATION MOTION ESTIMATION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL ODOMETRY

Visual SLAM with Network Uncertainty Informed Feature Selection

29 Nov 2018navganti/SIVO

In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection is required such that reference points persist over long durations and the runtime and storage complexity of the algorithm remain consistent.

SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL ODOMETRY

Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

25 Feb 2019hlzz/DeepMatchVO

Accurate relative pose is one of the key components in visual odometry (VO) and simultaneous localization and mapping (SLAM).

MOTION ESTIMATION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL ODOMETRY

The Double Sphere Camera Model

24 Jul 2018VladyslavUsenko/basalt-mirror

We 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. e., reprojection error, as well as computation time for projection and unprojection functions and their Jacobians.

3D RECONSTRUCTION AUTONOMOUS DRIVING MOTION ESTIMATION VISUAL ODOMETRY

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

17 Apr 2018VladyslavUsenko/basalt-mirror

For 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 measurements.

MOTION CAPTURE VISUAL ODOMETRY