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 61–70 of 408 papers

TitleStatusHype
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments—0
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
Efficient Domain Adaptation for Endoscopic Visual Odometry—0
VOLoc: Visual Place Recognition by Querying Compressed Lidar MapCode2
Secure Navigation using Landmark-based Localization in a GPS-denied Environment—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
YOLOPoint Joint Keypoint and Object DetectionCode2
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning—0
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
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Benchmark Results

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