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 51–75 of 408 papers

TitleStatusHype
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual OdometryCode4
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry—0
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization—0
IMU-Aided Event-based Stereo Visual OdometryCode2
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
Multi-Session SLAM with Differentiable Wide-Baseline Pose OptimizationCode2
SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints—0
VBR: A Vision Benchmark in RomeCode2
Salient Sparse Visual Odometry With Pose-Only Supervision—0
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments—0
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
Efficient Domain Adaptation for Endoscopic Visual Odometry—0
VOLoc: Visual Place Recognition by Querying Compressed Lidar MapCode2
Secure Navigation using Landmark-based Localization in a GPS-denied Environment—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
YOLOPoint Joint Keypoint and Object DetectionCode2
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning—0
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
LEAP-VO: Long-term Effective Any Point Tracking for Visual OdometryCode3
SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep ReconstructionCode2
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM—0
NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields—0
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Benchmark Results

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