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

Showing 251275 of 408 papers

TitleStatusHype
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras0
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network0
Structureless VIO0
SuperPrimitive: Scene Reconstruction at a Primitive Level0
Swipe Mosaics from Video0
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning0
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System0
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry0
Theory and Practice of Structure-From-Motion Using Affine Correspondences0
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions0
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation0
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry0
Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents0
Topometric Localization with Deep Learning0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey0
Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World0
Towards Visual Ego-motion Learning in Robots0
Training Deep SLAM on Single Frames0
Trajectory Approximation of Video Based on Phase Correlation for Forward Facing Camera0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation0
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry0
Two Stream Networks for Self-Supervised Ego-Motion Estimation0
UFM: A Simple Path towards Unified Dense Correspondence with Flow0
Uncertainty-Aware Camera Pose Estimation from Points and Lines0
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Benchmark Results

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