Coder Social home page Coder Social logo

stanford-navlab / navlab-dpe-sdr Goto Github PK

View Code? Open in Web Editor NEW
35.0 35.0 12.0 27.05 MB

CUDARecv and PyGNSS: open-source DPE-based GPS receiver software developed by the Stanford NAV Laboratory

CMake 1.24% C++ 32.77% C 0.10% Cuda 39.55% Shell 0.51% Python 25.83%

navlab-dpe-sdr's People

Contributors

gracegao-navlab avatar mjp5578 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

navlab-dpe-sdr's Issues

Ground Truth of static_opensky_20180704_190000_usrp6_2500kHz.dat

Dear author,

Good morning!Thanks a lot for your sharing!

I have two requests:

First, Could you give me a Ground Truth about the data? I search the site on Google Maps, but I can not sure of the accurate position.

Second, the data you provided just 4.78s, but not 45s as said. We can not use the short demo data to test the code, Because the scalar can not work well with the short data. Could you help to upload a little long data?

Thanks a lot.
Looking forward to your reply!

Best Regards,
xueyan

PyGNSS Poor Performance

My name is Sergio, and I am a Ph.D. student at The Hong Kong Polytechnic University. Together with Dr. Bing Xu, I am currently researching Direct Position Estimation GNSS receivers and found the PyGNSS code the Stanford Navlab team has developed to be very useful and versatile.

However, we are currently having trouble getting acceptable positioning results from both open-sky and urban environments. We were astounded when the positioning error is even larger compared to the conventional two-step GNSS receivers. I'm wondering if you can shed light on this matter.

Thank you!!

DPE

Dear author,

I hope this email finds you well. I am writing to you because I have recently been researching DPE (Differential GPS Positioning Estimation) and came across a paper that mentioned your tool, pygnss. However, I have encountered some issues with the provided example files, which seems to be hindering further analysis.

Firstly, I would like to express my gratitude to you and your team for developing the pygnss tool. It has provided a valuable platform for GPS data processing, and I have a keen interest in your work.

I was wondering if it would be possible to provide some additional instructions or alternative data that I could use to further test and validate the functionality of the pygnss tool. If there are any other datasets or sample files available, I would greatly appreciate access to them.

Thank you very much for your time and assistance. I am looking forward to your response.

Best regards,
SEVEN_MARS

About the Ground truth and size of the model data

Dear author,
Good evening! Sorry to bother you.
I am very interested in the DPE and I've studied and tested the code and theory.

I have two requests about the demo data:

  • [1 ] could you tell me the Ground Truth about the data?

  • [ 2] Because I find the data just 4.71s,but not 45s as said, so the data is too short to do the test. could you give me longer data to test and study the code and algorithm?

Thanks a lot.
I am looking forward to your reply

Best Regards,
xueyan

Pygnss failed to run.

Hello, I always encounter errors when running pygnss. Could you please provide more datasets along with their descriptions? I'm looking forward to your response.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.