In addition to automatic driving, these new technologies can also greatly improve the driving experience.

[Abstract] Driver identification, fatigue prevention, road rage and gesture control can all further enhance the driving experience and safety and reduce the probability of accidents.

Tencent Digital (Words) There is no doubt that the concepts of self-driving and driverlessness, which used to belong only to the future, have gradually come to us. Although more and more automakers are now paying more attention to fully-automated vehicles, it is also worth paying attention to the driver himself.

At present, the car wants to achieve complete driverless driving, which will take many years, but semi-autonomous driving has become a standard feature of many high-end cars, and semi-automatic driving must also learn to better understand the driver's habits and pass. Machine learning and computer vision systems to improve driving safety.

For semi-autonomous driving and assisted driving, there are actually three aspects that need further improvement to improve the driver's driving experience and driving safety.

1, driver identification

Although car sharing is a relatively new concept, it can further improve the level and maturity of self-driving cars. Different users start to share the same car, which is not only conducive to environmental protection, but also can more effectively use cars that are in idle state for most of the time and save economic costs. In the recognition of different passengers, it is also possible to improve certain convenience. Cars use computer vision systems to analyze the identities of different drivers and passengers, and then automatically adjust passengers' favorite configurations and usage habits. In addition, deep learning and artificial intelligence systems can further access the information of the occupants. Once the recognition of the artificial intelligence system is successful, air conditioning temperature, seat position, rearview mirror angle, and music volume will be automatically adjusted.

At the same time, the age and gender of different drivers also play a very important role in the future of networking and semi-autonomous driving. If the car is smart enough, then targeted information push will be based on different passengers. For example, an artificial intelligence system can recommend different restaurants according to different types of passengers, and can also push different streaming music (such as Spotify, Pandora, Apple Music, etc.) according to the age and gender of the passengers, and can even push ads that are precisely matched.

2, to prevent fatigue driving and road rage

Driving distraction is one of the main causes of traffic accidents, and fatigue driving and snoring are also the main reasons. According to the conservative estimate of the National Highway Traffic Safety Administration, approximately 100,000 traffic accidents in the United States each year are caused by fatigue. These accidents caused about 1550 deaths, 71,000 injuries, and direct economic losses of 12.5 billion U.S. dollars. If the computer vision system is used to track the driver's iris (line of sight), detect eye movements, blink frequency, and head movement recognition, the on-board sensors can determine whether the driver is in different states of drowsiness, fatigue, and anger. If it is detected that the driver has already shown signs of falling asleep, the car will give an alert and automatically switch to the automatic driving mode to prevent accidents.

In fact, this is not a completely new concept, because there are already some car manufacturers that have begun to try to install cameras in the car, but this is far from enough. The real "magic" is to detect the driver's real-time status and conduct in-depth analysis through the embedded computer vision system and deep learning system, not just through the on-board sensors to identify whether the driver closes his eyes. The artificial intelligence system can better understand the driving habits and characteristics. If the driver is accustomed to more blinks, the system will understand it as natural behavior and will not alarm. However, if the same person has a small eye or is accustomed to a semi-paralyzed state, then there will be no false positives through the facial recognition and analysis system.

In addition to fatigue-induced driving accidents, road anger and emotions are also worthy of attention. The system uses the tracking of the head and sound to identify whether the driver's mood is stable, and allows the driver to maintain peace of mind through specific music and reminders, which can also avoid traffic accidents.

3, enhance driving experience

The car entertainment system of today's automobiles is also relatively easy to cause driving distraction. Although the touch screen looks fashionable and high-tech, it also makes the dashboard look simpler, but when compared with traditional physical buttons, it is more It is easy to distract the driver, especially complex touch menus require multiple clicks to achieve the goal. According to studies, the touch-control central control menu usually takes an average of 5 seconds to complete an operation, and if the current speed is 90 kilometers per hour, it is equivalent to blindfolding more than a football field in 5 seconds. Therefore, the driver needs a more natural and simpler method to control the on-board system, such as gesture and voice recognition.

Through some simple gestures and gesture recognition, you can operate some basic functions in the car (such as moving your fingers to cut songs, placing pendulums to hang your hands, etc.), all of which can reduce the distractions and reduce the driving burden. Now BMW has implemented the use of gesture control in its 7 Series sedan for the use of car entertainment systems.

Although advances in technology continue to improve the driving experience, there is still the possibility of causing distracted driving, such as driving a mobile phone, sending text messages, and so on. Now, it is possible to further improve driving safety through various on-board sensors, including computer vision systems and artificial intelligence systems. In the future, it is hoped that an "accident free" transportation system can be realized.

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