![<?echo $_SERVER['SERVER_NAME'];?>](/template/twentyseventeen/skin/images/header.jpg)
Recently, the Nevada Motor Vehicle Driving Authority issued license plates to Google's driverless cars. Although Google revealed that the project will take at least ten years to be commercially available, it is still exciting news, and it can be imagined that we will greet an era where no driver's license is required for the rest of our lives.
For a driverless car, many people will doubt its feasibility. After all, the actual road conditions are very complicated. How can the car make an accurate judgment? More importantly, how can it avoid collisions with pedestrians? IEEE Spectrum website There was an article about the working principle of Google's automatic car, and now it is time to look back.
In fact, before obtaining the license plate, Google's automatic car has been tested on public roads, and even invited others to participate in it. At the time of IEEE Spectrum's article (2011.10), Google's automated car fleet had accumulated a total of 300,000 kilometers. The roads traveled included urban, highway and mountain roads. Occasionally, manual intervention was required while traveling.
At the IEEE International Conference on Intelligent Robots and Systems, Sebastian Thrun (Professor of Stanford University) and Google engineer Chris Urmson, the project ’s lead, talked about the principles of Google ’s automated cars.
In a video demonstration, Thrun and Urmson explained how cars observe road conditions and detect other vehicles, pedestrians, and traffic lights.
Urmson said the core of this system is the laser rangefinder (Velodyne 63-beam) on the roof, which can provide fine 3D map data. The automatic car will combine the data measured by the laser with a high-resolution map to make Different data models so that cars can identify obstacles and follow traffic rules.
In addition, there are four radars on the front and rear bumpers of the car to detect the surrounding conditions; a camera near the rearview mirror to detect the traffic light conditions; a GPS, an inertial test unit, and a wheel encoder used to Determine the location and track its movement.
Self-driving cars rely on very accurate maps to determine their location, because deviations can only occur with GPS technology. Before an automated car goes on the road, Google engineers will drive to collect road condition data. Therefore, the automated car can compare real-time data with recorded data, which helps it distinguish between pedestrians and roadside objects.
Automobiles must also have some kind of intelligence. For example, when the traffic light turns green, the car starts to turn, but at this time, when a passerby passes by, it will make the way. Another example is that at the intersection, it will let other cars pass first according to the rules. If the other cars do not respond, it will move forward a little to show its intention.
Google ’s two founders and the Automobile Team believe that intelligent driverless cars can improve road conditions and avoid traffic accidents, and they also hope that cars will become a public resource. When you press your phone, automatic cars will appear Be around and will take you to the place you need.
This is an ambitious goal, and even has a taste of idealism. Although self-driving cars have taken a new step, in addition to technical problems, self-driving cars have also brought some legal and social problems. As the IEEE website points out, it is an unprecedented thing to hand over control of a vehicle to an automated system.
When something goes wrong, no one knows who to blame or bring a lawsuit against. Furthermore, if there is really a problem for the first time, it is equivalent to a baseball slap on the face of the entire robot industry.
What is the prospect of driverless cars? Google's experiment is already in progress, let us wait patiently and hope.
Household Scouring Pad,Coarse Scouring Pads,Dish Washer Scouring Pad,Scrub Pad
Jiangmen Pengjiang Guanqi Trading Co., Ltd. , https://www.rikeryclean.com