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 71–80 of 408 papers

TitleStatusHype
Deep Auxiliary Learning for Visual Localization and OdometryCode0
A General Optimization-based Framework for Local Odometry Estimation with Multiple SensorsCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Continuous Direct Sparse Visual Odometry from RGB-D ImagesCode0
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based TasksCode0
Adaptive Continuous Visual Odometry from RGB-D ImagesCode0
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsCode0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
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Benchmark Results

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