SOTAVerified

Visual Odometry

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

Papers

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Showing 121–130 of 408 papers

TitleStatusHype
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlueCode0
Extending Monocular Visual Odometry to Stereo Camera Systems by Scale OptimizationCode0
Fast Cylinder and Plane Extraction from Depth Cameras for Visual OdometryCode0
InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human NavigationCode0
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based TasksCode0
Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression—0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
Event-aided Direct Sparse Odometry—0
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry—0
Evaluation of the visual odometry methods for semi-dense real-time—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CIVORelative Position Error Translation [cm]1.36—Unverified