The autonomous vehicle navigation system is heavily dependent on the use of GPS sensors. The poor accuracy of GPS sensors can be circumvented by combining other sensors using a Kalman filter-based method. Combining GPS and IMU sensors or other sensors is an option because of the relatively low cost. The use of controllers to build an autonomous vehicle navigation system becomes an important thing, so the controller devices used must have excellent performance, and it is found in UA V technology with autopilot-based controllers. The sensor combination method is carried out by combining the IMU sensor on the pixhawk 2.1 controller module with the Here2 GPS/GNSS Module, which is expected to make autonomous vehicles' position and heading orientation more accurate. The initial test results show that the navigation system accuracy is very good with the orientation angle towards the vehicle as expected. However, there was a problem in sending data from the vehicle to the ground station via telemetry radio due to distance and buildings constraints.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Design of Autonomous Vehicle Navigation Using GNSS Based on Pixhawk 2.1




    Publication date :

    2021-10-20


    Size :

    1093065 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Autonomous Navigation of an Agricultural Robot Using RTK GPS and Pixhawk

    Moeller, Ryan / Deemyad, Taher / Sebastian, Anish | IEEE | 2020


    Architecture and Algorithms for a Pixhawk-Based Autonomous Vehicle

    Singh, Ankur Pratap / Gupta, Anurag / Gupta, Amit et al. | Springer Verlag | 2023


    PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision

    Meier, Lorenz / Tanskanen, Petri / Heng, Lionel et al. | Tema Archive | 2012


    A Detailed Approach to Autonomous Vehicle Control Through ROS and Pixhawk Controllers

    Quinn, Brian / Bates, Jordan / Stott, Alexander et al. | TIBKAT | 2022


    Pixhawk-based scalable platform for multi-purpose surface unmanned vehicle

    Song, Jiabao / Yuan, Haiwen / Zhang, Bulin | IEEE | 2022