18158911357 Goto Github PK

3dpointcloud

3D点云处理库

ai-imu-dr

AI-IMU Dead-Reckoning

android-sensors-2-matlab

Read cell phone sensors in Matlab via UDP stream using Sensorstream IMU+GPS app.

bevlshaper

Algorithm for bird's-eye-view L-shape fitting in 3D LIDAR point clouds from traffic scenarios

bevlshaper-1

Algorithm for bird's-eye-view L-shape fitting in 3D LIDAR point clouds from traffic scenarios

camera-drivable-areas-and-obstacles-detection

Developed state of art to localize vehicle using GPS, LIDAR and IMU sensors.

carnd-extended-kalman-filter-project-pgl

使用C++实现扩展卡尔曼滤波器，使用Lidar和Radar数据跟踪车辆位置和速度

cartographer_ros

Provides ROS integration for Cartographer.

cluster-analysis

K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

complexurbanh3ds

To make virtual horizontal 3D scans (so H3DS) from the original Complex Urbans Dataset's point cloud, which was made from 2D push-broom lidars.

daily-paper-visual-tracking

记录每天整理的视觉目标跟踪论文

dat295_sensorfusion_neural_network

Project: IMU, GPS sensor fusion using neural network

dbscan_multiplex

A fast and efficient implementation of DBSCAN clustering.

distance-between-nearest-points-dbscan

ekf_fusion

Using an Extended Kalman Filter to calculate a UAV's pose from IMU and GPS data.

fairmotvehicle

A fork of FairMOT used to do vehicle MOT.用于跟踪车辆的多目标跟踪, 自定义数据进行单类别多目标实时跟踪

frenet_frame

Uses a LIDAR, IMU, GPS. Implemented and tested a planner based on frenet frame. Credits to atsushi sakai for the implementation of the frenet frame planner.

gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

gps-ekf-localization

EKF applied fusion data from IMU and GPS position through EVK-M8U

gps-imu-position-estimation

gps-imu-tracking

Estimate the position and velocity of a vihecle at every time using GPS and IMU

gps_imu_fusion

fusing GPS and IMU data in ROS

gps_milemeter_imu_ekflocation

采用gps、里程计和电子罗盘作为定位传感器，EKF作为多传感器的融合算法，最终输出目标的滤波位置

gpsaidedimu

gtsam_fusion

Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2). The ROS (rospy) node is implemented using GTSAM's python3 inteface.

image-region-proposals-using-point-cloud

Region Proposal generation on images using clustering in Pointcloud - Currently only for Pedestrians

imu-gnss-lidar-sensor-fusion-using-extended-kalman-filter-for-state-estimation

State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).

imu-gps-integration

Loose-coupled integration of GPS and 3D RISS IMU solutions

imu_gps_kfmix

使用卡尔曼融合GPS数据和加速度数据，一方面提升定位输出速率，一方面可以再GPS信号不好时通过IMU惯导辅助纠正路线，加速度数据已经转为惯导坐标系下，并做了滤波矫正处理

indirect_ekf_imu_gps

基于间接卡尔曼滤波的IMU与GPS融合MATLAB仿真（IMU与GPS数据由仿真生成）