SOTAVerified

Radar odometry

Radar odometry is the task of estimating the trajectory of the radar sensor, e.g. as presented in https://arxiv.org/abs/2105.01457. A well established performance metric was presented by Geiger (2012) - "Are we ready for autonomous driving? the KITTI vision benchmark suite"

Papers

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Showing 1–9 of 9 papers

TitleStatusHype
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar OdometryCode1
DRO: Doppler-Aware Direct Radar OdometryCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication SystemsCode1
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in RadarCode1
DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations—0
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline—0
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information—0
MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CFEAR-3-s4translation error [%]1.31—Unverified