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 131–140 of 408 papers

TitleStatusHype
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Direct Sparse Odometry with Rolling Shutter—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—0
Geometric-based Line Segment Tracking for HDR Stereo Sequences—0
Global Pose Estimation with an Attention-based Recurrent Network—0
Direct Monocular Odometry Using Points and Lines—0
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model—0
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry—0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
A Minimal Solution to the Generalized Pose-and-Scale Problem—0
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Benchmark Results

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