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- LINS算法与代码解析 - CSDN博客
本文通过理论分析与代码对比介绍了 LINS 算法，其中主要介绍了 LINS 如何使用滤波框架做激光 SLAM，以及优化与滤波的区别。
- LINS代码和论文解析 - 知乎
今天要解析的代码是lins，对应论文《LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigation》，来自港科大刘明组，注释过的代码和论文链接附在文章最后。
- ChaoqinRobotics LINS---LiDAR-inertial-SLAM - GitHub
Like LeGO-LOAM, LINS is speficifally optimized for a horizontally placed VLP-16 on a ground vehicle with a high-speed IMU (>=100Hz) It assumes there is always a ground plane in the scan
- LINS: A Lidar-Inertial State Estimator for Robust and Efficient . . .
We present LINS, a lightweight lidar-inertial state estimator, for real-time ego-motion estimation The proposed method enables robust and efficient navigation
- 多传感器融合---LINS - 知乎
本文提出的基于迭代ESKF的R-LINS是基于EKF模型的变种的一种紧耦合模型。 由于EKF模型是将非线性模型局部线性化，所以，对于雷达观测约束这种典型的非线性模型而言，容易出现性能低下甚至发散的情况，所以，需要使用一种针对非线性模型的卡尔曼滤波模型来
- FF-LINS README. md at main · i2Nav-WHU FF-LINS · GitHub
Hence, we propose a Consistent frame-to-frame LiDAR-inertial navigation system (FF-LINS) for solid-state LiDARs With the INS-centric LiDAR frame processing, the keyframe point-cloud map is built using the accumulated point clouds to construct the frame-to-frame data association
- LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigati
According to Table I, we find that LINS and LIOM present the lowest drifts The relative drift of LINS-MRO is 1 56%, slightly higher than tha of LIOM which is 1 40%, while the relative drift of LINS-PO is just 2 75% The resu ts indicate that combining IMU and lidar can eff ctively improve ac-curacy Even though the relativ r configuration for ind
- 激光SLAM总结——LIO-Mapping LIOM LINS LIO-SAM算法解析
文章总结了激光IMU结合的SLAM算法，包括LIO-Mapping、LIOM、LINS和LIO-SAM，这些算法分别采用优化、滤波及因子图方法实现紧耦合，提高了定位精度和鲁棒性。
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