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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 51–60 of 408 papers

TitleStatusHype
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry—0
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual OdometryCode4
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
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Benchmark Results

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