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 141–150 of 408 papers

TitleStatusHype
Continuous-Time Visual-Inertial Odometry for Event Cameras—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
A Photometrically Calibrated Benchmark For Monocular Visual Odometry—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—0
Efficient Domain Adaptation for Endoscopic Visual Odometry—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Computing Similarity Transformations From Only Image Correspondences—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
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Benchmark Results

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