MObileye develops a formula for building trust in automated vehicles

People are extremely adaptable creatures. Only a few other species in the world have expanded as far as people in the last few hundred thousand years. Despite this adaptability, we still see changes as a difficulty. A new phenomenon of automatic vehicles means a greater revolution in transport than ever before. For many of us, the idea of automated driving is unbelievable and  terrifying at the same time.

Automotive vision systems Mobileye's experts are aware that they need to build confidence in automatic driving before it can become a part of our everyday lives. Shalev-Shwartz, together with the Executive Director prof. Amnon Sashua, has developed a Responsible Sensitive Safety model to help assess driving errors that can lead to a car accident.

The goal of Systems Mobileye is to develop a system that would prevent all types of traffic accidents and ensure a zero level of victims. Before we can manage to reduce accidents to zero, it will take decades and effort from all sides. In the meantime, automated vehicles will be intertwined and interdependent with cars driven by people. For now, we all know that traffic accidents are mostly due to human errors. Nevertheless, people still do not trust automatic vehicles. A study by AAA, in 2017, showed that three quarters of questioned drivers are scared of automated vehicles and that they have more confidence in manual performance. More than half of the respondents stated that they would feel less secure if there were automatic vehicles on the road.

For businesses that spend tens of billions of dollars to develop this technology, these are worrying numbers. For this reason, automated driving development companies are trying to give the public the best and most comfortable way to present the new automated driving features, and above all the advantages of automatics. The RSS model represents an interface between automated and manual driving. With Mobileye, drivers can easily adapt to the inevitable future of fully automated vehicles in an easy way. Mobileye serves as a teacher and at the same time it helps prevent human traffic errors. Drivers still have control over the vehicle, but they get help from Mobileye calculations.

The Mobileye RSS model comprises a set of mathematical equations based on a vast number of different driving scenarios. Sensor data is recorded in the model, which helps to reveal the true cause of the accident in a given situation. The device also informs drivers about traffic hazards, such as the danger of a collision, the approaching pedestrians, traffic signs, maintaining the driving inside the lane, and others. Algorithms of automatics will also take into the account unclear or unpredictable situations. In the situation when the system will not be able to read the entire surroundings, due to dead corners, hidden streets or threats, etc, it will slow down the vehicle preventively and prevent the occurrence of an unpredictable accident. All activities and the development of automotive vehicles are moving towards security.

Figure 1: An example of detecting a vehicle with a safe distance.

Figure 3: An example of driving inside lane markers.

Figure 2: An example of detecting a vehicle with the danger of collision.

Figure 4: Alerts that the Mobileye shows according to the surrounding situation.

The fact is that the use of automated driving would significantly reduce the percentage of traffic accidents. With the emergence of new technology and the new driving practice, it is expected that there will be a degree of mistrust and confusion at first, but people will eventually adapt to this great change. Confidence in development is needed, and the automation industry needs to connect with the legislation and implement the introduction of such a models on a global scale.

The complete transition from manual operation of the vehicle to the automatic driving will take many years, if not decades. The Mobileye RSS model is a formula for ensuring confidence in automated driving practices. Collaboration between manual and automated driving means easier and more user-friendly transition to a new future.

Reference: Sam Abuelsamid (17. oktober, 2017): Mobileye Develops a Formula for Building Trust In Automated Vehicles