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Driving fatigue is something that every driver has encountered, especially in the driving environment of long-distance and traffic jam. According to statistics, fatigue related traffic accidents account for about 20% of the total accidents and more than 40% of major traffic accidents in China. Fatigue driving is an international problem in the field of traffic safety management, which widely exists, which is closely related to the inadequate implementation of the functions required by the standards of fatigue driving monitoring equipment.
Of course, to solve this problem, car factories and aftermarket are trying.
At the fourth World Internet Conference, Robin Li said that intelligent driving is the area where Baidu focuses on artificial intelligence. In this area, Baidu will launch a system of anti fatigue driving with FAW next year, because “we hope that the truck drivers will not lose their lives before they lose their jobs.” Baidu fatigue driving monitoring system will be one of the landing methods of image recognition technology based on Baidu brain. It will judge through infrared face recognition. When the truck driver enters the fatigue state, the system will send corresponding warning information.
The detection methods of driver’s fatigue state can be roughly divided into detection methods based on driver’s physiological signal, physiological response characteristics, operation behavior and vehicle state information.

Based on driver’s physiological signal
The physiological indexes of drivers in fatigue state will deviate from the indexes of normal state, and the research on fatigue driving was first based on this aspect. At present, the more mature detection methods include the measurement of EEG and ECG of drivers.
The detection method based on the driver’s physiological signal has high accuracy in judging fatigue, but the physiological signal needs to be measured by contact and is highly dependent on individuals. Therefore, there are many limited factors in the actual operation, so it is mainly used in the experiment as the control parameter.
Based on the physiological response characteristics of drivers
The detection method infers the driver’s fatigue state by using the driver’s eye movement characteristics and head movement characteristics. The eye movement and blink information are considered to be important features reflecting fatigue.
At present, there are many algorithms on eye movement mechanism. PERCLOS, a widely used algorithm, takes the percentage of eyelid closure time in a period of time as the measurement index of physiological fatigue. However, the problem faced by this kind of algorithm is that the adaptability of the algorithm is difficult to optimize due to different races and different eye socket depths. Moreover, when facing the change of scene light, the accuracy of face recognition will also be affected.
Based on driver’s operation behavior
The driver’s fatigue state can be inferred by processing the driver’s steering wheel operation data. At present, there are many uncertainties in this way, which is limited by personal habits, driving speed, road environment and operation skills, so there are few in-depth research results in this aspect.
Based on vehicle trajectory
The driver’s fatigue state is inferred from the driving information such as vehicle trajectory change and lane line deviation.
It is reported that there are two technical thresholds for fatigue detection, that is, the complexity of the application scenario and the bottleneck of the algorithm itself.
Let’s take a look at the tips provided by major car companies and aftermarket to deal with fatigue driving.
Benz
Mercedes Benz has its own unique system in fatigue driving detection and early warning, which is called “attention assistance system”, and is configured on C, Cl, e, GLK, s, GL, SLK and SL models.
Firstly, the system collects the driver’s driving behavior within 15-20 minutes after the vehicle starts, and files it as a reference system.
Through a series of sensors equipped on the vehicle, each command of the driver is monitored. Up to 70 kinds of data, such as driving time, steering angle, vehicle speed, acceleration and driver behavior, are recorded. The system monitors these data and compares them with the data in the file. So as to make a judgment when the driver is tired driving and give corresponding reminders. It is worth noting that this system starts when the vehicle speed is 60km / h.
Toyota Lexus
Some models of Lexus, a high-end car brand of Toyota, such as ls600h L, can be equipped with driver attention monitor to record the driver’s facial expression through the infrared LED display installed around the steering rod. If there are continuous blinking, eye closing and line of sight deviation, the alarm will be remembered.
public
Volkswagen determines whether it is in a fatigue state through the information of steering angle sensor or electronic power steering system, that is, the driver’s steering action. This system is called “fatigue identification system”. If the driver’s steering behavior exceeds a specific value and the vehicle speed exceeds 65km / h, the system will recognize that the driver has signs of fatigue driving. Passat alltrack is equipped with this system as standard.
modern
The system developed by Hyundai to prevent fatigue driving is to monitor the driver’s heart rate and vehicle driving status. The new Hyundai Sonata is equipped with a fatigue driving reminder system.
BYD
The fatigue monitoring system equipped by BYD is called “fatigue driving early warning system”. It is a device based on the driver’s physiological image response and composed of ECU and camera. It uses the driver’s facial features, eye signals and head mobility to infer the driver’s fatigue state, give an alarm and take corresponding measures.
At present, most of the vehicle manufacturers’ systems to deal with fatigue driving are equipped with medium and high-end models.
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Compared with small passenger car drivers, commercial vehicles such as buses, intercity buses, airport buses and operating trucks, especially passenger and freight vehicles running long-distance transportation, crash is a high-risk group of fatigue. Therefore, there is a demand for the aftermarket. It is reported that the fatigue driving monitoring system has two technical difficulties to overcome. On the one hand, it is the bottleneck of the algorithm itself, on the other hand, it is the complexity of the use scenario.

If you want to develop your own fatigue monitor system products, brands or software; please don’t hesitate to contact [email protected] , we won’t let you down.

“Distracted, fatigue driving is risky, install fatigue driving warning system!”. February 2 was the sixth day of the first lunar month. At about 5:45 p.m., a traffic accident occurred in Gaogang District, Taizhou: when a private car passed the intersection, it crashed and killed an octogenarian who was pushing a tricycle on the zebra crossing. The driver got off to check and left the scene and hid the car.

On the 17th, the second brigade of traffic police detachment of Taizhou Public Security Bureau reported that the perpetrator Liu was on the sunset network at the time of the incident. He was on the phone at the time of the incident, and the vehicle was seriously speeding. Now Liu has been released on bail. In addition to bearing criminal responsibility, he is also facing a lifelong ban on driving. Industry insiders pointed out that it is normal for the injured elderly to push across the zebra crossing, and Liu should bear full responsibility for the accident.

LS505 from Leisure Auto Safety

many drivers always have bad behaviors such as calling, smoking, looking around and tired driving when driving, and these bad driving habits are at great risk. Often they are the main cause of traffic accidents

According to the relevant statistical data, among the major traffic accidents on the expressway, the accidents caused by fatigue driving account for more than 40%. The effective early warning and control of driving behavior is the core factor to reduce the accident rate.
However, the concept of “driving fatigue” is still lack of a clear definition, and the judgment of driving behavior will be affected by individual differences.
In the process of improving technology and relevant standards, it has also attracted enterprises from different roles, including traditional auto parts manufacturers and AI vision startups.

Front loading is still blank, and the overall market is still passive
It has been 13 months since the Ministry of Communications issued the decree last year that operating buses over 9 meters must be equipped with a front view. Insiders said that although there is still a certain buffer period from the actual implementation, this policy will certainly be implemented in 2018.

At that time, the 9-meter bus without front view will not be able to obtain the safety certificate, and the mandatory standards force the market to respond. However, from the perspective of functional safety, AEB function can not achieve 100% safety in all scenarios after all, and fatigue early warning (or driving behavior monitoring) is a bonus to AEB.
Although there is no mandatory standard for fatigue driving early warning system, for suppliers, ADAS can play a limited role in the short term. At the same time, the market recognizes the role of fatigue driving early warning system in active safety, especially for the long average driving time of commercial vehicle drivers, which is more prone to fatigue, Many suppliers have shifted their business focus to the fatigue driving early warning system.
Although the market prospect seems good, in fact, many suppliers of fatigue driving early warning system are out of interest, which promotes the implementation of fatigue driving early warning system.
In the commercial vehicle market, in order to take a share in the field of active safety, many suppliers have accelerated their speed. For the forward-looking part, a complete set of SOP can be completed as soon as February and March next year. According to the previous speed, it takes nearly a year to complete a complete set of SOP.
However, there is only more than half a year left between now and February next year. It is difficult to say whether this behavior is the accurate control of the market or the rush to act just because of the selling points and market opportunities of the products.
In this process, although the cost of commercial vehicles is also one of the issues to be considered, most of the products used in commercial vehicles are promoted by the government and purchased uniformly, which is the main driving force of the fatigue driving early warning system carried on commercial vehicles.
In the passenger car market, the popularity of fatigue driving early warning system is very low. As the main consumer group in this part of the market, private car owners have different needs for products from commercial car owners, and there are few real safety considerations. Their purpose of using products is more because of freshness.
According to the monitoring data of ggai, by the end of last year, the penetration rate of passenger cars equipped with fatigue warning function was only 11.48%, and the actual production and sales accounted for less than 5%. Among them, the price of most configured models was more than 350000 yuan. Most of the suppliers were overseas manufacturers.
Especially for passenger cars below 200000, the installation cost of equipment is a big problem. The product combined with infrared camera and algorithm needs at least 1000 yuan. In addition, the practicability of the product is relatively low compared with passenger cars. Under comprehensive consideration, the possibility of selection by domestic users with high price sensitivity will be greatly reduced (especially most models choose the optional mode).
As for suppliers, they all want their products to enter the front decoration, so as to ensure stable and visible business income. A number of suppliers and principals of main engine manufacturers told Gaogong intelligent vehicle that there is no real front loading early warning product in the market at present.
The existing products are mostly installed in front of the sales end of some models through the 4S store. There is still a certain distance between such “quasi front loading” and the real “landing” of the fatigue driving early warning system.
The trend of integrating ADAS scheme is obvious
At present, the development trend of fatigue driving early warning system is to combine with ADAS function to realize the integration of in cabin and out cabin safety.
For example, if the fatigue driving warning system is combined with the functions of AEB, it can not only remind, but also realize autonomous braking in dangerous situations, and the safety will be greatly enhanced. It can be said that only when the fatigue driving early warning system is combined with the forward-looking ADAS function can a complete closed-loop ADAS system be formed.
The future fatigue driving early warning system may be based on one platform, integrate internal and external vision, realize systematic safety assessment and risk prediction based on the same chip computing platform, and respond by relying on preset programs.
This safety concept has great potential in the market of “two customers and one danger”, and it is also a key breakthrough field for many suppliers at present. In addition, all kinds of dangerous goods transport vehicles, heavy vehicles, port vehicles, including railway dangerous goods transport vehicles, are now the competitive markets of major suppliers.
The development of fatigue driving early warning system products is a long-term process. The fusion algorithm and hardware also involve image recognition. It needs to accumulate and debug the sample database for a long time, and there is no shortcut in technology.
However, at present, the R & D and production of fatigue driving early warning equipment in China is still in a passive state. More suppliers frankly say that at present, there are few domestic suppliers who have completely independent research and development, and even many are replicating. To be stable and accurate, a large number of data improvement iterations are required. It is not only a matter of time, but also involves economic benefits. Many problems need to be overcome in the process.
The OEMs said that the biggest bottleneck in the technical solutions of domestic suppliers is to develop algorithms based on the established chip solutions of the OEMs, but there are still large gaps in this part.
No matter whether the real front loading products can land or not, the development of domestic fatigue driving early warning system is inevitable. But what can really stand the test of the market and finally survive is the products with excellent technology.

If you want to develop your own fatigue monitor system  products, brands or software; please don’t hesitate to contact [email protected] , we won’t let you down.