Study on the inertial navigation system for autonomous driving
ID:1396 View Protection:ATTENDEE Updated Time:2021-12-03 10:49:27 Hits:241 Poster Presentation

Start Time:2021-12-17 10:38(Asia/Shanghai)

Duration:1min

Session:P1 Poster2020 » P1T1Track 1 Advanced Transportation Information and Control Engineering

No files

Abstract
The inertial navigation system is vital for automated driving, which has been proposed as an alternative since GPS signals are easily blocked under such driving conditions – crossing a tunnel, going through the sea, driving under trees, etc., which poses a huge safety hazard. This paper proposes an unmanned system for autonomous driving which is mainly based on inertial navigation technology. And then, the core method of the inertial navigation including the automatic driving state (velocity, displacement) update is introduced in detail. Accordingly, this paper sets up a simulation platform to test the proposed system using the tools of the Raspberry Pi, MATLAB, etc. The results show that the proposed system could provide accurate navigation information for autonomous vehicles in a short time window. However, the error of the velocity and displacement values calculated by the integral is remarkably larger than the error of the attitude angle. It indicates that the inertial navigation information must be filtered and corrected by other more accurate positioning systems if it is applied in a long time window.
Keywords
CICTP
Speaker
Bufan Liu
Nanjing Univerisity of Science and Technology

Submission Author
Bufan Liu Nanjing Univerisity of Science and Technology
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
Contact Information