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

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Showing 11–20 of 408 papers

TitleStatusHype
IMU-Aided Event-based Stereo Visual OdometryCode2
Multi-Session SLAM with Differentiable Wide-Baseline Pose OptimizationCode2
VBR: A Vision Benchmark in RomeCode2
VOLoc: Visual Place Recognition by Querying Compressed Lidar MapCode2
YOLOPoint Joint Keypoint and Object DetectionCode2
SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep ReconstructionCode2
SiLK -- Simple Learned KeypointsCode2
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized MappingCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Deep Patch Visual OdometryCode2
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Benchmark Results

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