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 241–250 of 408 papers

TitleStatusHype
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems—0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
Nonparametric Continuous Sensor RegistrationCode1
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map—0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization—0
Training Deep SLAM on Single Frames—0
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Benchmark Results

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