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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 171–180 of 408 papers

TitleStatusHype
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
Global Pose Estimation with an Attention-based Recurrent Network—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
Large Scale Photometric Bundle Adjustment—0
Large-scale visual SLAM for in-the-wild videos—0
Geometric Consistency for Self-Supervised End-to-End Visual Odometry—0
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Benchmark Results

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