Restore the coast of Europe with natural and blue carbon solutions
October 22, 2021
A SEAT-UPC Chair designs electric charging stations for urban micromobility
November 23, 2021The Advanced Centre of Mechanical Technologies (CATMech) and the research group CS2AC of the UPC have participated in the SMARTMOVE project, which is led by the companies SORIGUÉ and ELECNOR, to develop a redundant system for guiding autonomous vehicles.
In the next few years, self-driving vehicles are expected to hit the roads. They are based on a series of technologies (LIDAR, cameras, GPS, etc.) to gain the information required on the vehicle position and its surroundings to take decisions during driving. In this context, the need to establish a redundant system has emerged (that is, a system in addition to the technology [GPS] with which the car circulates, to support it if the other technology fails). The redundant system must be reliable, robust and close to the vehicle to provide accurate information on its path on the road, even in the most unfavourable conditions.
In this area, the SMARTMOVE project is being developed to research the possibilities of a guiding system based on physical positioning of markers on the road surface and the corresponding implementation of vehicle sensors and control systems.
This project’s tasks started with the selection and characterisation of markers and sensors. The result was opting for a mixed solution of a continuous, longitudinal marker for guidance on the road and a magnetic marker to supply one-off information. The possibility of using this information technology at commercial speeds has been tested and verified.
Then, the procedure of installing and maintaining markers in the road was defined, and their durability analysed. The robustness of the proposal lies in the integration of the markers in the road surface, so that they are protected against potential external agents.
The final focus of the project was the signal processing and the design of the ad-hoc control system for guiding vehicles along the route using this new redundant system as the only source of information. At the end of January 2022 the field test is expected for the final validation of the system.
The project receives funding from ACCIÓ as part of the RIS3CAT strategy. The total budget is €892,468.41 and it lasts two years and a half (January 2019 – February 2022).
Technology
You want to know more?
Related Projects
- The Barcelona Innovative Transportation (BIT), the Research Center in Automotive and Advanced Mobility (CER-AMA) and The Future Mobility Research Hub (CARNET) research groups from the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) are participating in the E-MED project, which aims to optimise energy and resource efficiency in public transport systems by addressing energy price fluctuations through smart and participatory solutions across the Mediterranean region.
- A research team involving the Barcelona Innovative Transportation (BIT), inLab FIB, CARNET Barcelona – Future Mobility Research Hub (CER-AMA), and the Department of Computer Architecture (DAC) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is driving the i-MovE project, which aims to incorporate multisectoral data to provide much more accurate and valuable information for the mobility sector. The project develops four use cases focused on both companies and mobility authorities, covering public and individual transport, using the UPCxels demonstrator.
- The Research Center for Supervision, Safety and Automatic Control (CS2AC-UPC) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has coordinated the SaCoAV project, focused on researching new methods and tools to ensure the safe coordination of autonomous vehicles in urban environments.
- As part of the USEFUL project, the Centre for Sensor, Instrumentation and Systems Development (CD6) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has equipped a low-emission vehicle that will drive through the streets of Terrassa with optical sensors integrated into a complex system for data computing, visualisation, and storage. This car will collect and store thousands of anonymous driving data points, which will be used to develop more accurate algorithms for autonomous driving.
26/10/2021
Project Header
right
no-repeat;left top;;
auto
20px
The Advanced Centre of Mechanical Technologies (CATMech) and the research group CS2AC of the UPC have participated in the SMARTMOVE project, which is led by the companies SORIGUÉ and ELECNOR, to develop a redundant system for guiding autonomous vehicles.
In the next few years, self-driving vehicles are expected to hit the roads. They are based on a series of technologies (LIDAR, cameras, GPS, etc.) to gain the information required on the vehicle position and its surroundings to take decisions during driving. In this context, the need to establish a redundant system has emerged (that is, a system in addition to the technology [GPS] with which the car circulates, to support it if the other technology fails). The redundant system must be reliable, robust and close to the vehicle to provide accurate information on its path on the road, even in the most unfavourable conditions.
In this area, the SMARTMOVE project is being developed to research the possibilities of a guiding system based on physical positioning of markers on the road surface and the corresponding implementation of vehicle sensors and control systems.
Project Header
no-repeat;left top;;
auto
20px
full
center
This project’s tasks started with the selection and characterisation of markers and sensors. The result was opting for a mixed solution of a continuous, longitudinal marker for guidance on the road and a magnetic marker to supply one-off information. The possibility of using this information technology at commercial speeds has been tested and verified.
Then, the procedure of installing and maintaining markers in the road was defined, and their durability analysed. The robustness of the proposal lies in the integration of the markers in the road surface, so that they are protected against potential external agents.
The final focus of the project was the signal processing and the design of the ad-hoc control system for guiding vehicles along the route using this new redundant system as the only source of information. At the end of January 2022 the field test is expected for the final validation of the system.
The project receives funding from ACCIÓ as part of the RIS3CAT strategy. The total budget is €892,468.41 and it lasts two years and a half (January 2019 – February 2022).
Main Text
no-repeat;left top;;
auto
qma2F0n7k14
Technology
Logistics and Mobility
Tecnología
no-repeat;left top;;
auto
0px
25
Sector
Automotive Sector
Transport and mobility
Sector
no-repeat;left top;;
auto
0px
25
Topic
Artificial Intelligence
Smart City
cybersecurity
Green car
Automotive
Tema
no-repeat;left top;;
auto
30px
40
You want to know more?
Contact Button
no-repeat;left top;;
auto
0px
no-repeat;left top;;
auto
50
Related Projects
Proyectos Relacionados
no-repeat;left top;;
auto
4
grid
4
tecnologias-de-logistica-y-movilidad-en
date
DESC