Strategic cooperation for Integral Safety using Connected and Automated Driving Solutions

Aligned with its mission and vision of putting safety in the forefront of mobility solutions, Cidaut is participating together with CTAG, ITENE and i2cat, in a strategic collaborative project among reference Spanish research centers to create innovative solutions related to safety. This strategic network is called INTEGRA.

The projects aims at developing digital instruments applicable to assisted and automated driving solutions to increase the safety through anti-crash sensors and intelligent communication networks. The cooperation between the four research centers involved is targeting the reinforcement of their capabilities to develop innovative technologies to foster the implementation of connected and automated mobility solutions in complex environments, with a first focus on urban scenarios.

The network has fixed four technologic challenges, each of one leaded by one of the research centers integrating the project. Cidaut is in charge of the development of new safety systems integrated to the automated driving capabilities to adaptively mitigating the damage on the occupants. CTAG is responsible of creating new automated functions, enhancing the connectivity and developing anti-collision systems. I2cat is in charge of the development of advanced tools for the complex connected environments and ITENE leads the creation of safety solutions for automated last mile applications.

INTEGRA network is funded by the Spanish Government through the Ministerio e Ciencia e Investigación and CDTI, EXP 00140188/CER-2021 1031.

Cidaut applies integral safety concept to automated urban electric vehicles

In the frame of Multi-Moby European Project, which aims at developing of technology for safe, efficient and affordable urban electric vehicle, Cidaut is responsible of the integral safety of the vehicle’s occupant but also of the rest of the vulnerable road users.

Multi-Moby is the last, by now, of a large row of projects that were born from the idea of developing environmental friendly, sustainable vehicles considering circular economy concepts, and will finish with the development of a digitalized micro-factory for the assembly of the final solution. In this project the vehicle safety is being improved that’s to the introduction of automated driving solutions that will contribute to increase the integral safety of occupants and the rest of road users.

Cidaut is in charge of the structural design, the development of the restraint system and the implementation of innovative solutions for vulnerable road users’ protection, all of them supported by the automated driving capabilities of the vehicle. The vehicle will be equipped with artificial intelligence to look out the environment and make decisions to avoid or mitigate the possible accident. In the worst case, if the accident happens, Cidaut’s solutions will minimize its consequences on both, the occupant and the vulnerable road users.

Acknowledgment

The research leading to these results received funding from the European Union (EU) project MULTI-MOBY (GA #101006953).

Successful real time testing for artificial vision and dedicated short range communication

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.