Tesla has been deploying the Autopilot system since 2014, bringing about fierce debates about driverless driving, and even caused several cases, and brought endless troubles to regulators in various countries. But the real priceless treasure is - data.
Over the past two years, Tesla has collected more than 1.3 billion miles of data on various roads and weather conditions around the world through the first generation of the Autopilot system, and that “almost all data†can be used. The second generation of Autopilot.
Tesla released Autopilot 2.0 in October and announced that all models currently produced at the Tesla plant (including the future Model 3) already have a hardware base for full autonomous driving, and Tesla also stated that The automatic driving based on this hardware has an unprecedented improvement in safety, which is much more reliable than human drivers. According to 36Kr,
A total of eight cameras are added around the body to provide 360-degree viewing and the ability to measure objects up to 250 meters. In addition to the camera, Tesla also installed 12 ultrasonic sensors to complement the visual and detect soft and hard obstacles within a distance of twice the distance from the previous system. In addition, there is an enhanced version of the forward millimeter-wave radar in front of the Tesla, which can work in the harsh rain, snow, fog, dusty weather, as well as the vehicles ahead.
In order to process the data collected by the above sensors, Tesla also equipped a new on-board computer for all vehicles, which is 40 times more powerful than the previous generation. It runs Tesla's vision system based on deep neural network. Nano and radar system software. Tesla said that the measurement accuracy of the system for the world is beyond the reach of human senses. It can detect in all directions at the same time, and its coverage wavelength band is much richer than humans.
Nidhi Kalra, a senior information scientist at the American think tank RAND, pointed out that "Tesla has undoubtedly laid a huge advantage. They can learn from a wide range of experiences and try to train those who drive and work at the speed of the dust. The improved company is left behind."
The so-called data is king, especially in the field of automatic driving. Kalra pointed out that “(autopilot) vehicles must pass hundreds of millions of miles or even tens of billions of miles to prove their safety.†The more data you have, the faster the algorithm can learn.
But it's worth pointing out that the 1.3 billion miles collected have covered all Autopilot-equipped vehicles, including Autopilot, which does not activate miles running in "shadow mode", which uses sensors to track real-world data. The number of miles in the real activation state of Autopilot is about 300 million miles.
With such a large amount of "data ocean", the speed of its increase is also amazing. In May, the mileage of the Autopilot and the activated state was 780 million miles and 100 million miles respectively. In other words, in just six months, the two figures have doubled and doubled.
Compared with the same depth layout of unmanned Google, Uber, GM and other horizontal comparisons, Tesla is relying on the advantages of massive data. As of the end of October, Google collected 3.5 million miles of data, including 2.2 million miles of autopilot status data and 1.3 million miles of manual driving data, which means that Tesla now collects data from Google every day. More has been collected since the start of the driverless car test in 2009. Google currently collects data at a speed of 25,000 miles per week with 50 prototypes.
In addition, Uber and GM have also begun to deploy "fleet" on the streets to test unmanned vehicles to collect relevant experimental data, but have to say that Tesla has been left behind.
Cheng also data failure data?
At the same time that Tesla is learning through massive amounts of machine learning to make the true sense of drones come true, Uber is once again blamed for the data. It’s understandable that technology companies have come from my evolution by collecting data, but where are the boundaries?
This month, a former Uber employee filed a lawsuit alleging that Uber did not “pay attention to data protectionâ€. He said Uber collected the order information, name, e-mail, location of the car, the amount paid, the type of equipment and other information for each passenger without the passenger's knowledge. At the same time, Uber allows all employees to have access to real-time tracking of order data for "advanced politicians, celebrities, and even acquaintances of Uber employees (including ex-boys, girlfriends, and former spouses, etc.).
In fact, as early as two years ago, since the birth of the "God View", such controversy has never stopped. The so-called "eye of God" can not only display the location of the Uber driver's vehicle, the passengers call the car, get on the bus, get off the bus, and passengers who have used Uber, as long as the GPS is turned on, even after the end of the trip can be Keep track of it.
However, it must be noted that in Uber China's iOS version, positioning can already choose "never" "use application period" and "always". In many other countries, the Uber app has only the "never" and "always" options for the location sharing authorization provided to the user, which means that Uber can share the user's location information even if the user does not open the app. . In response, Uber recently responded that "the location tracking problem is caused by the iOS operating system itself, not the result of its app."
Data breaches are not just problems that travel sharing tools can encounter. In fact, users have long had “no way to escapeâ€.
On the evening of December 10, Jingdong was leaked by the media and 12G data was leaked. The leaked data includes user name, password, email address, QQ number, phone number, ID card and other information.
On December 14, Yahoo broke the data breach. Yahoo said it also found a massive hacking incident that caused 1 billion user accounts to be stolen in August 2013. This became the largest online account theft in history.
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