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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 408 papers

TitleStatusHype
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized MappingCode2
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and SelectionCode1
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Visual Odometry with Neuromorphic Resonator Networks—0
Pseudo-LiDAR for Visual Odometry—0
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation—0
Deep Patch Visual OdometryCode2
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and LocalizationCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
PVO: Panoptic Visual OdometryCode2
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry—0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning—0
Event-aided Direct Sparse Odometry—0
Improving Monocular Visual Odometry Using Learned Depth—0
Visual Odometry for RGB-D Cameras—0
Lateral Ego-Vehicle Control without Supervision using Point Clouds—0
Lunar Rover Localization Using Craters as Landmarks—0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry—0
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Benchmark Results

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