Mercedes-Benz tests a number of security technologies to accelerate automotive intelligence

We have mentioned before: the future of car driving will be irreversible, the biggest change will be the way of car handling, and we will see these changes in our lifetime.

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The most groundbreaking innovation in the automotive sector will emerge in the fast-moving active safety system. If you compare the first steps of ABS and ESP to create proactive and safe technology, we will fully understand the help of these technologies in the new millennium. The rapid development of computer technology consumes a large part of R&D investment, which is why only the most wealthy car manufacturers are at the forefront of achieving maximum technological innovation.

Fortunately, the Daimler Group has no problems with funding, and some new technologies in the field of active safety will be realized at the Stuttgart depot. In fact, Mercedes-Benz is testing new technologies that will transform the original concept of using cars as a premium means of transport into a personal butler and a bodyguard on wheels.

As most city dwellers realize, driving in the city has become more and more difficult in recent years, because you have to pay attention to the pedestrians on the road, they will watch the mobile phone while walking, and the cyclist will deviate from the bicycle lane. Unattended children, there are some ordinary traffic conditions.

Of course, some cars are already equipped with automatic braking, and some of the more expensive models can even distinguish between people and dogs. Mercedes-Benz wants to further improve these systems. Recently, they have made great breakthroughs in joint UR:BAN research. UR: BAN is a joint organization of Mercedes-Benz and other car manufacturers, universities and companies.

Scene marker

3D imaging with a camera-based system can simulate human binocular vision. This technique, invented by German engineers, automatically detects all objects and even distinguishes all unknown conditions. Researchers in the “Environmental Awareness” department provided tens of thousands of pictures of different cities in Germany. These pictures describe the most common urban driving environments, including cars, bicycles, pedestrians, buildings, street lights and trees.

This system can self-learn and discover any objects that may hinder driving, and even some of the obscured objects can be found, so that it can predict the situation that has not occurred, and adjust the car's automatic braking system. All of this can be done with a powerful computer. Essentially, a series of Internet-based calculators can think like a human brain, so the system can learn to improve based on previous mistakes to achieve virtual artificial intelligence.

Test items

Daimler's researchers have now built five different test cars, each with a different technical part, which is close to the finished product. The first car showed the aforementioned scene marker function, which distinguishes all objects in an urban environment, allowing the car to travel better and prevent it from hitting anything else while driving. In other words, this makes further departure from autonomous driving.

The second test car showed how the radar and camera work together to visualize dynamic and static objects. In fact, it can continue to build a 3D map that shows an unknown car driving environment. The size and movement characteristics of each object can be scanned and visualized in the current environmental mode, while also allowing for incomplete sensor data and lost data, and can operate in inclement weather such as fog.

The third test vehicle is loaded with a system that not only detects, classifies and identifies pedestrians and bicycles, but also predicts their next move. Like an (experienced) driver, the system considers the position of the object, the head posture, the location of the road or the location of the sidewalk to predict whether a pedestrian will cross the road or stay on the road.

The fourth car demonstrated how a system equipped with stereo cameras and radar can help a driver achieve automatic lane change at 30km/h (19mph) and 60km/h (37mph) speeds and in complex urban traffic conditions. This system can analyze real-time road conditions and predict its development trend to implement or stop lane change behavior. It should be noted that the driver can interfere with the steering wheel angle, throttle or brake pedal at any time.

The fifth test car demonstrates how to perceive and predict the driver's driving behavior before the driver changes lanes or changes direction. Most people look at the rearview mirror before turning, and turn their heads to slow down the speed. The system will also take into account these details, taking into account the map information and the steering wheel corners. Therefore, if he perceives that you are about to turn, it will automatically notify your other drivers and road users of your intentions and correct turn information as early as possible.

in conclusion

The times are changing, and from the perspective of product development, the previously mentioned system is nearing completion. Considering the various sensors already on the Daimler Mercedes-Benz, we don't have to be too surprised if some similar technology will debut on the 2017 W-class sedan W213 next year. If it doesn't debut next year, the Stuttgart car factory has already promised to have a truly fully automatic model by 2020. These models will definitely use the technology used in the test models mentioned earlier in this article. We must be ready for the future, and it may suddenly appear in front of you at any time.

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