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 261–270 of 408 papers

TitleStatusHype
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions—0
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation—0
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry—0
Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents—0
Topometric Localization with Deep Learning—0
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
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Benchmark Results

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