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Name: Field Robot Navigation
Type: User
Company: Shanghai University
Bio: SLAM and Motion Planning
Location: Shanghai
Name: Field Robot Navigation
Type: User
Company: Shanghai University
Bio: SLAM and Motion Planning
Location: Shanghai
Multi-Sensor Combined Navigation Program(GPS, IMU, Odo,Vision and so on)
Advanced implementation of LOAM
在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下,众多行业迎来了前所未有的发展机遇,人工智能+无人机(AI+UAV)正是一个具有无限想象力的应用方向。
Voxel resources for coders
Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
ColAG: A Collaborative Air-Ground Framework for Perception-Limited UGVs' Navigation
Project page of 《DIDO:Deep Inertial Quadrotor Dynamical Odometry》
Robot-centric elevation mapping for rough terrain navigation
Elevation Mapping on GPU.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
:books: 免费的计算机编程类中文书籍,欢迎投稿
iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
LVI-SAM for easier using (更简单的使用LVI-SAM的方法)
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)
M2DGR: a Multi-modal and Multi-scenario Dataset for Ground Robots
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MicroPython Examples For 01Studio Development Board
Monocular MSCKF_VIO 单目版本msckf_vio,包括算法模型详细数学推导文档msckf1.0.doc
Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
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Open source projects and samples from Microsoft.
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