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
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation—0
Deep Patch Visual OdometryCode2
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and LocalizationCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
PVO: Panoptic Visual OdometryCode2
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
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Benchmark Results

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