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 71–80 of 408 papers

TitleStatusHype
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
cuVSLAM: CUDA accelerated visual odometry and mapping—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
Discovering Multiple Algorithm Configurations—0
Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
Continuous-Time Visual-Inertial Odometry for Event Cameras—0
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Benchmark Results

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