https://github.com/Cen-Liu/Fast-CFEAR-Radar-Odometry
공식 코드Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems
Papers with Code 아카이브
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"
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dan11003/CFEAR_Radarodometry
공식 코드CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry
https://github.com/mchancan/citylearn
공식 코드MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
https://github.com/utiasasrl/dro
공식 코드https://github.com/dan11003/CFEAR_Radarodometry_code_public
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry
https://github.com/utiasASRL/hero_radar_odometry
https://github.com/utiasasrl/deep_learned_visual_features
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.