The F. CIDAUT participates together with 3 other technology centers (CTAG, ITENE, I2CAT) in the INTEGRA Network. This Network is financed by the Spanish Ministry of Science and Innovation and the CDTI, thought the Cervera Technological Centers program (00140188CER-20211031)
Its creation constitutes a step towards the development of local autonomous transport, which tries to optimize the movements of passengers and goods, guaranteeing the safety of users and minimizing the environmental cost.
The INTEGRA network has just launched the “I Young Researcher Competition”, with the objective to find innovative technical solutions that contribute to achieving ultra-safe autonomous and connected driving in complex urban environments.
The competition is mainly aimed at University students around the world and University graduates who have finished their studies in the last 2 years.
The prize will be unique and will consist of the publication of a scientific article with the collaboration of the INTEGRA Network. The finalists, for their part, will receive a diploma accrediting their condition.
Those interested in participating in the Competition must fill out a participation application that will include the proposal or idea in accordance with the requirements established in the Competition rules document. For more information you could visit our LinkedIn: REDINTEGRA or visit our page web: www.cidaut.es
The four members of INTEGRA partnership, CTAG, Cidaut, Itene and i2cat, have participated in the web workshop celebrated at the end of the first year of the project. The aim of the event was to explain the technological challenges to introduce the automated driving solutions in the urban environment, to show the technological research lines of the project in the coming years, to show the business opportunities in the automated driving field and to get feed-back from the stakeholders of the urban mobility providers.
The event was opened by Francisco Sánchez, from CTAG, who, as project coordinator, introduced the current scenario and the technological challenges of the automated driving. After the introduction, Rosa Blanco, from CTAG, presented “Red de Excelencia CERVERA” and gave a technical explanation about the importance and the solutions for the automated and connected driving in urban environment. Next, Javier Romo, from Cidaut explained the influence of the automated driving and the new urban scenarios in the safety of the vehicle occupants and of the vulnerable road users, and the need to establish new solutions with from an integral safety point of view. Itene’s intervention, made by Mireia Calvo, was focused on the particularities of the goods delivery based on automated driving solutions, paying special attention to the new opportunities and challenges. The last technical presentation was made by Jesús Alonso, from i2cat, who explained the new simulation tools developed in the project to reproduce the vehicle to everything (V2X) communications and to understand the automated driving influence on the real traffic. After the questions and answers turn, the event was closed by Sergio Güerri from Itene, who was the organizer of the web workshop.
Probono Project has been approved for funding by the European Commission in the Frame of Green Deal. Probono brings together 47 partners all around Europe to develop innovative energy efficient buildings in connected suitable green neighbourghoods.
To demonstrate the results achieved through the project two large scale demonstrators, Madrid and Dublin, and four living labs, Brussels, Porto, Aarhus and Prague, have been proposed across Europe. Cidaut will contribute with mobility, connectivity and integration of renewable energies in Dublin and Madrid.
The large scale demonstrators will focus on new buildings, retrofitting and green districts development, energy optimization at district level, integration in the grid and electromobilty. The project will provide support at city level and will interact with citizens looking for solutions to be reproduced in follower cities.
The living labs will focus on smaller scale business driven renovation or construction projects with clear definition of value proposition and also looking for solutions to be integrated in follower cities.
The project will start on Autumn and will last for 60 months.
In the field of the CERO Project, Cidaut has performed real time on board tests for vulnerable road users’ protection and short range communication. In the case of vulnerable users’ protection the tests have consisted in detecting both pedestrians and cyclist in different traffic scenarios, like overtaking, crossing or appearing behind big vehicles front blind points. The solution obtained is based in low cost components and simplified software. In fact, the system consists of a monocular webcam with a single processor to evaluate the images registered by the camera. The big effort has been made in the optimisation of the system program and in the use of artificial intelligence to teach the system.
All the scenarios tested were successfully completed, the different vulnerable road users were detected in advance and attending to their relative position with the vehicle trajectory the driver was advised accordingly. An important output of these trials has been the time needed for the system to register the image, process it and decide if it is a vulnerable road user or not. This time is 0,11 seconds clearly lower than the average reaction time of a human, 1 second, or the reaction time of a driver in alert situation, 0,5 seconds, and with the additional advantage of no distractions or drowsiness.
In parallel, the dedicated short range communication system developed in the project has been tested in different scenarios, the most relevant ones have been: semaphore communication, work zone + traffic jam and personalised messages for different users. In the first case communication between vehicle and traffic light, when the vehicle is approaching the traffic light, it communicates to the traffic light its speed and position, according to the time to red or to green, the traffic light makes a recommendation to the vehicle about how to proceed, immediately, the message appears in the HMI developed for the project. In the second case, the vehicle is alerted 500m in advance about the cut of one of the lanes of the road due to road works, and in the case of traffic jam due to the work zone, the vehicle is informed by the rest of the vehicles about this situation, as in the previous case, the corresponding graphic messages appear in the HMI of the vehicle. The personalised messages is aimed to substitute the large and costly (about 40 thousand euro) variable message signals in the roads. In this case the infrastructure has several pieces of information available for the users, but the users will only receive the information useful for them. For the test two vehicles were running on the track, the first one was an electric vehicle, and the second one a dangerous goods vehicle. The first vehicle received information about how to reach the closest charging station, while the second one was informed about a mandatory deviation for dangerous goods transport. The short range communication demonstrated to have more than 800 meters range and at the same time to be the best ally of the large range communication to warranty a seamless connectivity for the future autonomous vehicle.
Cidaut has successfully finished CERO Project, with the cooperation of three automotive companies from Castile and Leon region: Grupo Antolín Ingeniería, ZF TRW and Casple S.A. The project has been funded by the “Instituto para la Competitividad Empresarial”. The main objective achieved thanks to the development of the project has been the research and development of new urban mobility solutions based on the integration of connectivity, automation and electrification. Cidaut considers that the electrification of the mobility should start in the urban environment for several reasons: importance of the air quality in cities, better energy performance of electric vehicles in urban driving conditions and easiness for infrastructure access. In several phases of the project, Casple’s urban electric vehicle prototype has been used to demonstrate the results achieved.S.A.
The project has been divided in three main tasks, the first one oriented to determine the needs of the future urban electric vehicles, the second aimed to obtain integral safety for this kind of vehicles and the third one looking for the enhancement of the communication capability of vehicles and infrastructure. The first task has allowed to establish a deep knowledge about the new urban transport needs from last mile logistics to mobility as a service solution that will have to overcome the tight mobility restrictions that will be progressively applied in different cities in the coming years and that have been also analyzed along CERO Project.
The second activity has covered all the aspects relative to safety from an integral point of view. The automated driving blurs the limit between active and passive safety, integrating both with the final objective of reducing the fatalities to CERO. The project has advanced in this direction presenting innovative solutions not only for the occupants but also for other vulnerable users of the road. In collaboration with ZF TRW, new restrain systems for automated driving levels 3 and 4 have been developed taking into account the new positions of the occupants in the automated vehicles. The pedestrians and cyclists safety has been improved through the development of artificial vision solutions, which identifies this kind of users, evaluates the risk of accident and alerts the vulnerable user and the driver/car (depending on the degree of automation) about the possible accident.
Finally low cost communication solutions have been developed for V2X applications. The solution adopted has allowed the implementation of different advanced solutions that will allow to increase the safety, improve the traffic flow and reduce the environmental impact of the traffic. Some of the communication applications tested along CERO project are: traffic jam detection, information about road works, allocation of points of interest, and speed recommendation to optimize green light flux.