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 251–260 of 408 papers

TitleStatusHype
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World—0
Towards Visual Ego-motion Learning in Robots—0
Training Deep SLAM on Single Frames—0
Trajectory Approximation of Video Based on Phase Correlation for Forward Facing Camera—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry—0
Two Stream Networks for Self-Supervised Ego-Motion Estimation—0
UFM: A Simple Path towards Unified Dense Correspondence with Flow—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
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Benchmark Results

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