Network-RTK Positioning for Automated Driving (NPAD)
|Coordinator||RISE Research Institutes of Sweden AB - RISE Mätteknik, Göteborg|
|Funding from Vinnova||SEK 13 309 841|
|Project duration||May 2018 - December 2020|
|Venture||Electronics, software and communication - FFI|
|Call||Elektronik, mjukvara och kommunikation för fordonsindustrin|
Purpose and goal
The development of Network-RTK GNSS based positioning technologies relies on a system for distribution of correction data that can handle the increasing requirements of a large number of automated vehicles or other mobile platforms as well as reliable and efficient testing to validate the system performance. The objective of the project is to enable cm-level Network-RTK GNSS positioning for a large number of automated vehicles or other mobile platforms by applying the standard developed by 3GPP and adapting the existing infrastructure provided by Lantmäteriet/SWEPOS.
Expected results and effects
- Development of a system and infrastructure that provides cm-level positioning for a large number of mobile platforms such as automated vehicles using GNSS as a sensor - A reference system for evaluating accuracy and precision of positioning systems at AstaZero. - Development and test of a system that will put Sweden at the forefront as a country prepared for the upscaling of large volumes of automated vehicles and their needs of cm-level positioning. - Promotes a cross-industrial cooperation between research institutes, automotive industry, telecom industry as well as SME’s.
Planned approach and implementation
The project will be executed through several development steps where a demonstrator will be developed based on both the requirements from automated driving and other mobile platforms. Throughout the project, we will: 1. Define the requirements for cm-level positioning for automated driving. 2. Analyze the impacts of the requirements on a correction data distribution system based on the Positioning Accuracy Enhancement standard developed by 3GPP. 3. Perform tests and validation of the system based on an automated vehicle application supplied by Einride.