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 291–300 of 408 papers

TitleStatusHype
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
A geometry method for LED mapping—0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation—0
A Minimal Solution to the Generalized Pose-and-Scale Problem—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
An indoor DSO-based ceiling-vision odometry system for indoor industrial environments—0
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Benchmark Results

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