Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Sensor Fusion Demo | 128 | 4 months ago | 1 | Java | ||||||
This repository contains several different sensor-fusion implementation that can be compared with each other. | ||||||||||
Fsensor | 119 | 4 years ago | apache-2.0 | Java | ||||||
Android Sensor Filter and Fusion | ||||||||||
Sensor Fusion Demo | 36 | 7 years ago | 1 | Java | ||||||
#Android的传感器融合演示[![Build Status](https://www.bitrise.io/app/46b5cf7adea1286f.svg?token=MZUhPFZvIBiaTSEinY9zUQ&branch=master)](https://www.bitrise.io/app/46b5cf7adea1286f )[![Build Status](https://travis-ci.org/apacha/sensor-fusion-demo.svg?branch=master)](https://travis-ci.org/apacha/sensor-fusion-演示)[![文档状态](https://readthedocs.org/projects/sensor-fusion-demo/badge/?version=latest)](http://sensor-fusion-demo.readthedocs.io/en/最新/?徽章=最新)本应用程序演示了各种传感器和传感器融合的功能。陀螺仪,加速度计和罗盘的数据以不同的方式组合,结果显示为可以通过旋转设备旋转的立方体。阅读完整的文档[这里](http://sensor-fusion-demo.readthedocs.io)。该应用中的主要新颖之处在于虚拟传感器的融合:**改进的方位传感器1 **和**改进的方位传感器2 **将Android旋转矢量与虚拟陀螺仪传感器融合,以获得以前未知的稳定性的姿态估计和精度。除了这两个传感器,以下传感器可用于比较: - 改进的方向传感器1(Android旋转矢量和校准陀螺仪的传感器融合 - 不太稳定但更准确) - 改进的方向传感器2(Android旋转矢量的传感器融合和校准陀螺仪 - 更稳定但不太准确) - Android旋转矢量(加速度计+陀螺仪+罗盘)的卡尔曼滤波器融合 - 校准陀螺仪(加速度计+陀螺仪+指南针卡尔曼滤波器的独立结果) - 重力+指南针 - 加速度计+指南针本应用被开发用于展示为[我的论文“传感器融合为移动设备上强大的户外增强现实跟踪”开发的传感器融合方法](http://my-it.at/media/MasterThesis-Pacha.pdf)在[人类接口技术实验室新西兰](http://www.hitlabnz.org)。##构建和安装此项目是基于Gradle的Android Studio项目。如果您只想尝试一下,它也会在[Google Play商店](https://play.google.com/store/apps/details?id=org.hitlabnz.sensor_fusion_demo)中发布。##贡献1.分叉2.创建您的功能分支(`git checkout -b my-new-feature`)3.提交你的更改(`git commit -am'添加一些功能')4.推到分支(`git push origin my-new-feature`)5.根据MIT许可证创建新的Pull Request ##许可证。版权所有,2017年由[亚历山大·帕查](http://alexanderpacha.com)和[人力资源技术实验室新西兰](http://www.hitlabnz.org)。特此授权任何获得本软件和相关文档文件(“软件”)副本的人免费处理本软件,包括但不限于使用,复制,修改,合并的权利,发布,分发,再许可和/或出售本软件的副本,并允许提供本软件的人员遵守以下条件:上述版权声明和本许可声明应包含在所有副本中或软件的主要部分。该软件“按原样”提供,不附带任何明示或暗示的保证,包括但不限于适销性,适用于特定用途和不侵权的保证。在任何情况下,作者或版权所有者均不对任何索赔,损害或其他责任负责,无论是否因与本软件或本软件的使用或其他交易相关的任何合同,侵权行为或其他方面的行为软件。此应用程序还使用Android开放源代码项目的部分,它们是根据[Apache许可证版本2.0](http://www.apache.org/licenses/LICENSE-2.0)许可的。##数据隐私声明本应用程序不存储或传输任何数据。 | ||||||||||
Twiz Fw | 27 | 8 years ago | C | |||||||
Twiz, the Tiny Wireless IMUz - FirmWare | ||||||||||
Camera Gyro Calibration | 18 | 6 years ago | 1 | gpl-3.0 | Matlab | |||||
Robust Gyroscope-Aided Camera Self-Calibration (codes) | ||||||||||
Gyrolinearacceleration | 18 | 10 years ago | ||||||||
Android linear acceleration from an acceleration sensor and gyroscope sensor fusion using Cardan angles. | ||||||||||
Dana | 16 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT) | ||||||||||
Sensorfusion | 15 | 9 years ago | mit | Matlab | ||||||
This project performs sensor fusion to track a mobile device's orientation. The data utilised are from three sensors: a) Accelerometer, b) Magnetic Field, d) Gyroscope. The sensor fusion is executed off-line. This project basically ports code developed by Paul Lawitzki from Android to Matlab/Octave. The Matlab/Octave code imports a CSV file with a given structure. Then, a strapdown integration system is developed by computing the orientation from two different components: a) Accelerometer - Magnetic Field and b) Gravity tracking through Gyroscope. Finally, the orientations from the two components are fused. | ||||||||||
Sensor Fusion Demo | 14 | 5 years ago | Java | |||||||
Cordova Plugin Device Sensor Fusion | 9 | 3 | 9 years ago | 3 | September 06, 2015 | 3 | mit | Java | ||