Recently, the Nevada Motor Vehicle Driving Administration issued a license plate to a Google driverless car. Although Google revealed that the project will take at least a decade to commercialize, it is still an exciting news, and it can be imagined that in the lifetime of life, it will be an era that does not require a driver's license.
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For driverless cars, many people will doubt its feasibility. After all, the actual road conditions are very complicated, how can the car itself make accurate judgments? More importantly, how can it avoid collisions with pedestrians? IEEE Spectrum website There was an article about how Google Auto Works works, and it’s time to look back.
In fact, before getting the license plate, Google's automatic car has been tested on public roads and even invited others to participate. At the time of IEEE Spectrum's publication (2011.10), Google's auto-vehicle fleet has accumulated a total of 300,000 kilometers. The roads include urban, expressway and mountain roads, and occasionally human intervention is required during travel.
At the IEEE International Conference on Intelligent Robotics and Systems, the project's lead Sebastian Thrun (Stanford University professor) and Google engineer Chris Urmson talked about the principles of Google's automated cars.
In a video demonstration, Thrun and Urmson explain how cars observe road conditions and detect other vehicles, pedestrians, and traffic lights.
Urmson says the core of the system is the laser rangefinder (Velodyne 63-beam) on the roof, which provides fine 3D map data. Automated cars combine laser-detected data with high-resolution maps. Different data models so that cars can identify obstacles and obey traffic rules.
In addition, there are four radars on the front and rear bumpers of the car for detecting the surrounding conditions; there is a camera near the rearview mirror to detect the traffic lights; a GPS, an inertial test unit, and a wheel encoder are used Determine the location and track its movements.
Autonomous vehicles rely on very accurate maps to determine position, as deviations can only occur with GPS technology. Before the auto car goes on the road, Google engineers drive the road to collect traffic data, so the auto can compare the real-time data with the recorded data, which helps distinguish the pedestrians from the roadside objects.
Automated cars must also have some sort of intelligence. For example, when the traffic light turns green, the car begins to turn, but when the passerby passes, it will give way. Another example is that at the crossroads, it will let other cars pass according to the rules. If other vehicles do not respond, it will go forward a little to indicate their intention.
Google’s two founders, as well as the Autobot team, believe that smart driverless cars can improve road conditions and avoid traffic accidents, and they also want cars to be a public resource. When you press your phone, an automatic car will appear. Beside you and will take you where you need it.
This is an ambitious goal and even a taste of idealism. Although autonomous vehicles have taken a new step, in addition to technical problems, driverless cars have brought about some legal and social problems. As the IEEE website points out, giving control of the vehicle to the automated system is a precedent.
When something goes wrong, no one knows who to blame, or who to file a lawsuit against. Further, if the first question is really made, it is equal to the fact that the baseball bat has hit the face of the entire robot industry.
What is the future of driverless cars? Google's experiment is already underway, let us wait patiently and hope.
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