After a traffic accident in the Tesla autonomous vehicle, the safety performance of the driverless technology has become the focus of public attention. Compared with manual driving, it is a concern that the safety hazard caused by the machine is completely relied on. This concern is more due to the public's lack of understanding of the development of driverless technology.
“Autonomous driving is a gradual process.†On July 14, Zheng Li, president of US Semiconductor NXP Greater China, said at the Open China and APEC Innovation Conference Forum hosted by the Ministry of Industry and Information Technology and the Shenzhen Municipal Government.
In his view, before the idealized high-automatic driving, it must also undergo three stages of assisted driving, semi-automatic driving and conditional automatic driving. The current technical level is more of the assisted driving stage, which means that While the autopilot function is on, the driver must monitor the road conditions. "At this stage, the main driver is still human, but some drivers mistakenly believe that such a statement on our car has reached semi-automatic driving, or automatic driving, resulting in a safety accident." Zheng Li said.
The Tesla Model S, which had an accident before, was only an auxiliary function with autonomous driving. It was not a self-driving car in the strict sense. Wang Jin, senior vice president of Baidu and the general manager of the autonomous driving department, pointed out at the meeting that the technology involved The technical level requirements for self-driving cars have not been met.
The Model S accident occurred mainly because the camera mistakenly identified the white car in front of the car as an accident, which can be avoided by technology.
Zheng Li said that at present, the driverless technology has three key technical points to improve safety performance: multi-sensory, ADAS active safety assist system and V2X car networking technology. “The key to the recent security issue is that the car’s perception of the environment is relatively singular, and we need a multi-faceted, multiple perception to ensure that the driver is in an environment.â€
At present, the self-driving car perception system mainly uses a camera and a radar, and the safe system combines different radars and cameras. At present, radars used in self-driving cars mainly include laser radar and millimeter wave radar. Both radars have their own indistinguishable situation: the laser radar used by Google's unmanned driving can't distinguish between large-area smog and brick wall under relatively hot conditions, and millimeter-wave radar just makes up for this. Short board.
At the same time, V2X car networking technology ensures that the car is in constant communication with the surrounding environment, ensuring a safe driving environment by ensuring communication between the car and the overall infrastructure.
In the highly automated driving phase, the driver can give the vehicle control including the safety function to the car, and this era will come soon. At present, Baidu has achieved stage results in the unmanned layout. Wang Jin said that Baidu's driverless cars will be mass-produced in five years. The first unmanned vehicle operation area was also settled in Wuhu, Anhui Province in May this year. Area.
In April of this year, Hard Egg Platform announced a strategic partnership with Advanced Driver Assistance Systems (ADAS) Mobileye to deploy the unmanned field. In the May earnings report, the hard egg spokesperson said: "Mobileye technology can improve the efficiency of driver driving, reduce the accident rate, and let the insurance company lose a lot of money."
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