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Radar odometry
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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"
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DRO: Doppler-Aware Direct Radar Odometry
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry
MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.