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 76–100 of 408 papers

TitleStatusHype
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
Continuous-Time Visual-Inertial Odometry for Event Cameras—0
A Photometrically Calibrated Benchmark For Monocular Visual Odometry—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video—0
Enhancing self-supervised monocular depth estimation with traditional visual odometry—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Computing Similarity Transformations From Only Image Correspondences—0
A Novel Georeferenced Dataset for Stereo Visual Odometry—0
CodedVO: Coded Visual Odometry—0
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map—0
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
An indoor DSO-based ceiling-vision odometry system for indoor industrial environments—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
CFORB: Circular FREAK-ORB Visual Odometry—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments—0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
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Benchmark Results

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