Technological

1.Generalization of technologies on autonomous vehicles

Technologies on autonomous vehicles
Camera: Cameras are used on autonomous vehicles to collect image of road users, traffic signs and other obstacles.

Lidar: Lidar generates 3D geoinformation mapping by comparing the differences of sent pulses and reflected pulses in laser return times and wavelength.

GPS (Global Positioning System): The Global Positioning System (GPS) is a technology that utilizes three or more satellites to transmit precise signals, allowing GPS receivers to calculate and display accurate location, speed, and time information.

Infrared: Infrared technology will find contrasts and contours of obstacles well beyond that of a camera.

DMS (Driving Monitoring System): when danger is detected, the DMS notify the driver with flash or sounds if the sensor found the driver is focused on the road while swith on security mode if the driver is absent-minded.


References

http://www.geog.uni-heidelberg.de/gis/gis_lidar.html

 https://www.lifewire.com/how-gps-works-1683296

http://applecarfans.com/infrared-and-laser-based-lidar-is-key-for-safer-autonomous-vehicles/



2. Driving Monitoring System

Mechanism of DMS
     
       Driving Monitoring System was first introduced by Toyota in 2006 and now many famous auto companies have included DMS in their vehicles. Lots of companies have provided solutions to install DMS into already-exist vehicles. So far, DMS is able to installed in all kinds of vehicles and integrate with fleet management system, which means driving efficiency can be boosted and the cost will go down. DMS has the following advantages:
(1) Reduce the risk of car accidents.
(2) Work at different conditions including all kinds of weathers and light environment.
(3)Low power consumption.
(4)Extendable integration with other systems.
However, DMS has its drawbacks. For example, the accuracy of measuring physical state of drivers may not be satisfying all the time. A process of intelligent learning is needed to analyze if the driver is sleepy or not.
DMS is developing steadily and fast. However, it's going to be accepted more widely if the measurement of driver's state can be more accurate. Also, collaboration with communication module, which makes it possible to send detailed driving information to driver's family,  is a practical idea for future development.

References:

https://www.audi-mediacenter.com/en/technology-lexicon-7180/driver-assistance-systems-7184

http://www.care-drive.com/product/driver-fatigue-monitor-mr688/

https://www.researchgate.net/publication/268504724_Development_and_Assessment_of_a_Driver_Drowsiness_Monitoring_System

评论

发表评论

此博客中的热门博文

#5 Law

图片
Despite autonomous vehicles having a promising future, we shouldn't neglect the fact that legal framework that should govern them is not synchronous with the technological advances. This blog discusses the legal dimensions involving autonomous vehicles.    The legal status of autonomous vehicles The public and governments are not sure about the reliability of the new technology  and thus hold a relatively conservative attitude towards it. Take U.S. as an example, California and Florida are the only two states enacted and chaptered bills related to autonomous vehicles back to 2012. However, things have changed a lot now. According to NCSL(National Conference of State Legislatures), 33 states have introduced legislation on this issue. Fig.1 shows the status of legislation in the United States. Some others are still under consideration while some else have failed to make it through the legislative council. More and more states are trying to cover legal issues on autonomous vehi
阅读全文

#6 Social

图片
In this section, I made a online questionaire for more convincing feedback. 33 people filled in the questionaire including 23 males and 10 females. The questions were set as follows: 1. Do you drive a car? Why or why not? 2. Would you be interested in having an autonomous vehicle? Why or why not? 3. Why would you like/dislike an autonomous vehicle? 4. What are your expectations of autonomous vehicles? Here is the results and brief summary: 1. Chart 1 Among the 33 interviewees, 5 own private cars while others don't. This is reasonable because the majority of interviews are students and they can't afford a car. 2.  As for their feelings on buying an autonomous vehicle, half of the interviewees expressed their interests on it while others are unwilling to do so. The charts below explain their choices well. Chart 2 Chart 3 In Chart 2 and Chart 3, interviewees are provided with certain options and they are free to choose up to 3 of them. A number of
阅读全文