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待开源>>基于事件相机和深度感知的动态目标检测与跟踪
!!!激光-IMU-视觉紧耦合鲁棒里程计:A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry.
!无人机实时三维路径规划导航避障:A Robust and Efficient Trajectory Planner for Quadrotors
!!快速鲁棒的icp前端匹配
!!!gicp点云快速配准:A collection of GICP-based fast point cloud registration algorithms
!!!fast-lio2+回环:The tight integration of FAST-LIO with Radius-Search-based loop closure module.
!!!基于fast_lio的地图重定位工作:A simple localization framework that can re-localize in built maps based on FAST-LIO.
!!FAST_LIO相关论文、代码中文注释以及代码改动
为FAST-LIO2中的ikd-tree部分添加中文注释
!未知环境下的无人机3D路径规划算法:3D Trajectory Planner in Unknown Environments
!!!ikd替换为ivox,32线200hz,Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
Faster-LIO (添加中文注释)
优化数据加载过程来提升整体训练速度FFCV: Fast Forward Computer Vision (and other ML workloads!)
PX4 Autopilot Software
!港科大:利用闪光图像(flash image)来去除反光:Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"
!无人机飞行仿真模拟软件:An Open Flexible Quadrotor Simulator
!!LOAM速度提升3倍,可定位:Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)
!!用傅里叶变换完成快速求PDE偏微分方程:Use Fourier transform to learn operators in differential equations.
!!!F-PointNet将PointNet的应用拓展到了3D目标检测上,在进行点云处理之前,先使用图像信息得到一些先验搜索范围,这样既能提高效率,又能增加准确率:Frustum PointNets for 3D Object Detection from RGB-D Data
3D点云配准问题:A Fast Symbolic 3D Registration Solution from HKUST RAM-LAB
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
!!一种融合WiFi、IMU和平面图信息的多模态传感器融合算法,推断出室内环境中准确而密集的位置历史Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments
!!多传感器融合的GA_SLAM:rocket: SLAM for autonomous planetary rovers with global localization
Open source autonomous aviation and drone intelligence software platform, designed for drones and VTOLs.
!!用于地下环境的基于图的多机勘探3D路径规划器:Graph-based Exploration Planner for Subterranean Environments
!!无人机轨迹优化器A General-Purpose Trajectory Optimizer for Multicopters
a doce of git study
!!一种基于子图的多层制图和规划方法,以实现在里程计漂移的大尺度环境下安全高效的体积勘探:Efficient local and global exploration on submap collections with changing past pose estimates.
基于3d激光的改进的区域化高斯过程用于地图重建(只有库函数):Sparse Gaussian Processes for SLAM
!!添加了地面约束的3D版本Cartographer(使用ikd-tree维护local_map)
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