SLAM back-end [2편] — Ax=b 대신 Ry=d 를 풀자

TBA

Other posts

• [SLAM Study] » Gauss-Newton Opt == IEKF update ?
• [SLAM Study] » SLAM Back-end 공부자료 5개 추천
• [Radar SLAM] » ICRA 2021 Radar in Robotics Workshop 요약
• [Radar SLAM] » Radar Odometry Results on MulRan dataset
• [LiDAR SLAM] » Scan Context-based LiDAR Pose-graph SLAM [구현]
• [Visual SLAM] » Filter-based VIO [1편] — MSCKF 계열 history 정리
• [Least Square Opt.] » Iterative Optimization [1편] — Nonlinear ICP 구현을 통해 알아보는 Gauss-newton Optimization
• [Filter-based SLAM] » Bayesian Filtering [2편] — Recursive estimation 의 시작 (칼만필터 유도)
• [Filter-based SLAM] » Bayesian Filtering [1편] — posterior 의 mean, covariance 구하기
• [Factor graph SLAM] » SLAM back-end [2++편] — Householder QR 분해 구현해보기