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 176–200 of 408 papers

TitleStatusHype
Discovering Multiple Algorithm Configurations—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Lateral Ego-Vehicle Control without Supervision using Point Clouds—0
Large-scale visual SLAM for in-the-wild videos—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments—0
Large Scale Photometric Bundle Adjustment—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling—0
Learning monocular visual odometry with dense 3D mapping from dense 3D flow—0
Learning Residual Flow as Dynamic Motion from Stereo Videos—0
Direct Sparse Odometry with Rolling Shutter—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement—0
Direct Monocular Odometry Using Points and Lines—0
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
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Benchmark Results

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