The impact of wearable devices on the driver monitoring system

Lecturer: Zhu Yulong, the title of "Journey of Zhu" given by Jianghu people, deeply cultivated in the field of automotive electronic design. Since the creation of the "Automotive Electronic Design" personal WeChat public number in August 2014, he has been arrogant and insists on writing and posting an original article every day. The public number is more than 10,000 people, and it is the industry's well-respected “dry goods knowledge base”.

theme:

1. Existing driver monitoring program

2. Overview of feasible solutions for driver monitoring

3.DM parameter analysis

4. Current product difficulties and limitations

5. Advanced automatic driving demand for DM

6. Future development of DM

The following is a speech of the micro salon lecture + PPT:

Zhu Yulong: The theme I chose today is driver monitoring, not in the system of forward collision prevention, nor in the system of reversing, so it is relatively independent. I chose this topic because it is very important in the future for driverless and ADAS in the world, but it is relatively good with the entire entry point abroad. So I also made an introduction here, because before we could monitor the driver more as a mandatory use on the bus, it is not considered an opportunity. I chose the entry point for such a topic, and I hope that everyone can re-examine this relatively relative thing in the ADAS field.

Foreign driver monitoring program introduction

First of all, from the two major categories, the overall structure of the driver monitoring is from the direct monitoring and indirect monitoring. Direct monitoring is directly through the driver's access to information, mainly through his facial information and images. Take this pattern to get the entire information. In the usual sense, we have several latitudes, one is the driver's attention direction, and the other is to judge the driver's entire eyelid closure. It is necessary to transplant the human fatigue model. For the whole eye, a moderate one is needed. learning process.

In Germany, a large number of uses the angular velocity of the steering wheel of the vehicle, as well as the normal and abnormal judgment of the entire drive, through the normal algorithm. In the traditional algorithm, because the latitude of the information is not enough, more is a reminder, because it has no way, some people's driving style is special, not the same. So on this page, basically we can see that this is two very different paths.

I will focus on the cognitive latitude of driver monitoring. We believe that there are four basic latitudes in the state of the entire driver. One is the cognitive load. Through the fatigue load of the human body, it is judged that he wants to sleep, distract, and pass. Labor, through the gaze direction of the glasses, the blink of an eye, including brain waves, heartbeat, skin conductance, body temperature, breathing analysis to determine the driver's body. The third latitude is what we often say, whether you are going to call a mobile phone, or when you are driving, go to tea and do something else. The fourth is to understand the driver's multi-dimensional situation through the driving distance, the actual situation of the lane, the speed change and the acceleration situation.

features

High Performance

In addition to the advanced and highly flexible control functions of earlier CENTUM systems, the CENTUM CS 3000 now includes the following features:

  • Equipped with the OLE for Process Control (OPC) Server function.
  • Supports the FOUNDATIONâ„¢ Fieldbus for integration with networks of field sensors and actuators.
  • Allows programmable logic controllers (PLCs) to be connected easily.
  • The open engineering data structure allows external tools to be used for generating, modifying, and managing engineering data.

Excellent Operability

Using Windows NT in the human interface, the CENTUM CS 3000:

  • Allows Windows-based operations, which are familiar to most PC users.
  • Allows vendor standard, low-priced PC hardware to be used as the human interfaces.
  • Allows data to be exchanged with a diverse range of software available on the market, including business applications.

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