Pinned Repositories
cartographer_detailed_comments_ws
cvlife cartographer注释_lixiang
Cheetah-Software
目标
Fusion
IMU姿态滤波（或许可借鉴）
GitHub520
解决github访问时图裂、加载慢的问题。（无需安装）
gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
ICRA2023_Quadruped_Robot_Challenges
Thie repository provides simulation map environment of ICRA2023 Quadruped Robot Challenges
legged_ocs2_in_ros2humble
ocs2_legged_robot_notes
quad-sdk_go1
Software tools for agile quadrupeds(Unitree Go1)
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving 专门用于自动驾驶的LiDAR惯导标定方案
juanvon's Repositories
juanvon/A-LOAM
Advanced implementation of LOAM
juanvon/A1_SLAM
A1 SLAM: Quadruped SLAM using the A1's onboard sensors
juanvon/apollo
An open autonomous driving platform
juanvon/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
juanvon/cartographer_detailed_comments_ws
cvlife cartographer注释_lixiang
juanvon/Cheetah-Software
目标
juanvon/CTLO
CTLO: Continuous-Time LiDAR Odometry
juanvon/elevation_mapping_zju
ZJU 参考版本
juanvon/EMplanner
The code of EM planner learning.
juanvon/Fusion
IMU姿态滤波（或许可借鉴）
juanvon/GitHub520
解决github访问时图裂、加载慢的问题。（无需安装）
juanvon/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
juanvon/ICRA2023_Quadruped_Robot_Challenges
Thie repository provides simulation map environment of ICRA2023 Quadruped Robot Challenges
juanvon/ocs2_legged_robot_notes
juanvon/quad-sdk_go1
Software tools for agile quadrupeds(Unitree Go1)
juanvon/SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving 专门用于自动驾驶的LiDAR惯导标定方案
juanvon/GEM
GEM: Online Globally consistent dense elevation mapping for unstructured terrain.旨在处理户外资源受限场景下带闭环的建图问题。局部地图是基于ETHZ的Elevation map的，当时测试下来，ETHZ的Elevation map是CPU实现的，不太适合实时性较强的移动机器人应用场景，ETHZ用在四足上，运动速度慢，所以基本可行。我们提出了一种实时可扩展的GPU实现的全局Elevation map. 在整个原始Elevation map的框架中，将部分可并行部分进行cuda加速，此外实现了ray tracing算法进行了实时障碍物消除。原始几何数据的基础上进行了可行域分析，并添加了相应的地图层，为地面移动机器人避
juanvon/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
juanvon/LIO-SAM-DetailedNote
LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS。--知乎卢涛
juanvon/OpenSLAM-Notes
个人对目前较为成熟的视觉/激光SLAM算法进行的注释以及解读文件
juanvon/RSPMP
使用elevation_mapping生成2.5D地图，然后根据2.5D地图计算区域的可通行性并结合语义分割的图像信息进行运动规划
juanvon/slam_toolbox
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
juanvon/slambook2
edition 2 of the slambook
juanvon/traversability_estimation
Traversability mapping for mobile rough terrain navigation