Not long ago, Brown driving the Tesla Model 3 turned on the autopilot system, but unfortunately collided with the trailer truck in the driverless mode, and died on the spot due to severe impact. The autopilot system uses sensors and camera technology to detect possible obstacles in front of the road. In this accident, the system did not see the truck turning left in front of Brown's car, so there was no timely braking, which caused Tesla to drill directly under the truck and continue to slide until it hit two barriers and taxied to The elevated south side stopped.
Currently, the US Highway Safety Administration is investigating 25,000 Tesla Model S. If the Tesla autonomous driving system is ruled to be flawed, it will lead to a large-scale recall. This is undoubtedly a heavy blow to Tesla and technology madman Musk, and it will cast a shadow over the emerging unmanned technology.
However, does this accident and failure mean that you should not trust the driverless car again?
Due to the intelligence of unmanned vehicles, there will be no direct drawbacks of human driving, and they will not be bound by human physical conditions. Therefore, fatigue driving, drunk driving, anger and the acute transient neurological disorder that we hate will be thoroughly disappear. In the case of some emergencies, the speed of analysis of intelligent systems is much faster than that of humans, and safety has improved.
After connecting to the intelligent system, the unmanned vehicle can choose a smoother road, analyze the road conditions to get the most suitable route choice, and avoid the troubles such as traffic jams at various peak stages, and choose the shortest travel time required. . You can even choose the most romantic and elegant path for you.
There is no doubt that the autonomous driving system is not perfect and may never be perfect. But most experts believe that it has far more potential than human autonomous driving. Cars may also connect to the Internet to perform tasks like we rely on smartphones, and the built-in navigation system benefits from real-time traffic information. For vehicles that are already IoT members, a status report on traffic and vehicle hygiene will be automatically sent.
Autopilot system technology has proven to save lives. Most notably, safety regulators and major automakers agree that automatic brake technology for cars should be standard on all new cars. This automatic braking technology can avoid tens of thousands of lives that are dying every year from car accidents by avoiding dangerous car accidents. But no one has ever said that with these automatic technologies, there will be no more car accidents.
Not only that, but the greatness of driverlessness is that it has changed far more than the automobile manufacturing industry. Instead, it has created a new economy centered on unmanned cars and an unprecedented life style and social concept. Under the infinite prospects, world-class IT and auto giants are almost in the unmanned market. Google and Baidu have been working in unmanned driving for many years. The rumors of Apple's car making are likely to make headlines at any time. Musk certainly won't miss the opportunity for Tesla to make a super driverless car, BMW, Mercedes-Benz, Volkswagen, Audi, Volvo, Honda, BYD, Changan Automobile and other Chinese and foreign brands have also invested in it.
How to look at driverless
Regarding the car accident, Tesla explained that the white truck is difficult to identify under the blue sky background, and from the perspective of Tesla Autopilot, the side of the trailer truck is suspended on the ground. This very rare situation leads to the Autopilot system. The negligence did not initiate automatic braking. At the same time, the collision position of the vehicle is Tesla's windshield, which makes the collision safety system unable to function, which directly leads to the death of the driver.
Tesla stressed in the statement that assisted driving technology is still developing and not perfect, requiring drivers to be vigilant. Therefore, in the process of using Autopilot, the car will constantly prompt the driver to put both hands on the steering wheel and be responsible for the vehicle.
At the same time, the high-speed section of Brown's car accident is also quite special. There were no traffic lights on the scene, and the vehicle was allowed to cross the lane for a big turn to the left. This is equivalent to the dangerous characteristics of both urban roads and highways. This situation is also a challenge for human drivers, especially for engineers who design autonomous vehicles.
In fact, today's cars have applied a lot of automation technology. When these automatic sensing technologies are combined with other technologies, they become a popular driverless mode. Therefore, the automatic technology is not mysterious. The whole unmanned system needs human cooperation and vigilance before it is fully mature.
In addition, when combined with the so-called "active cruise system", the car system can use cameras, radar and other sensors to detect vehicles in front of the road and always maintain a safe distance from the vehicle in front. In theory, this system allows the driver to step on the highway without stepping on the accelerator or stepping on the brakes.
LTE+GPS= driverless car
Modules and systems that support GPS and LTE functions are becoming more popular, and the goal of driverless cars is no longer out of reach. For example, the NEO-M8L stand-alone module combines a high-performance synchronous positioning engine with 3D automotive inertial navigation technology to provide 100% coverage and continuous 3D positioning for road vehicle applications.
The device is very responsive and has fast GNSS signal acquisition and tracking that can be easily integrated into the system. The module's built-in 3D accelerator, 3D gyro sensor, and speed pulse input provide a complete solution for road vehicle ADR applications with consistent, accurate positioning performance.
Five key technologies for driverless driving:
1. Vehicle-to-vehicle communication : V2V communication refers to vehicle-to-vehicle communication technology. Its main working principle is to install V2V communication equipment in the vehicle. Its operation mode is based on the vehicle's internal GPS positioning system and is accepted by DSRC wireless communication equipment. And sending vehicle information to enable each vehicle to obtain instant traffic information, and the vehicle can also know a wider range of traffic conditions through the network of nodes;
2, cruise control: it is a comfortable equipment of modern cars, its characteristics are also known as "constant speed control system", "vehicle speed control system" or "cruise control system", mainly by command switch, sensor, cruise control system The ECU and the throttle actuator are composed of four parts;
3, automatic brake : its principle is mainly through the camera, laser radar or microwave radar to sense the object in front of the vehicle. When the system determines that there is a danger of rear-end collision, a warning tone will first be issued to alert the driver to decelerate. When the driver still does not decelerate, the system judges that if the speed is not inevitable, the system will automatically brake with full force;
4. Lane maintenance : Its working principle is to monitor the lane change in real time through the high-resolution camera integrated in the rearview mirror, and intelligently identify the lateral displacement state of the vehicle during the driving process, if the driver is not lighting the situation. Press down to the lane on either side, the steering wheel will automatically apply a reaction force and vibrate to ensure the safety of the vehicle.
5. Vehicle-mounted radar: By integrating various radar sensors to form a network system, this system combines the advantages of various sensors, thereby forming a new, high-precision sensor network that can greatly improve the automotive radar network system. Performance, so that it has anti-collision alarms and safety functions such as collision avoidance in the city.
Driverless has many challenges for many technologies, including the most basic sensors and algorithms. The automotive industry is about to face a drastic change. Two years ago, some experts mentioned: "The change in customer consumption behavior has caused the automotive industry to face an important turning point, that is, customers have changed from the traditional 'purchasing car products' to the 'mobile mode' consumption. "The subtle relationship between car manufacturers and taxi applications in the past two years can confirm this view.
Zhang Fangyou, chairman of Guangzhou Automobile Group, said that the development of new energy driverless vehicles will adopt a phased approach, and the new energy vehicle industry will be actively deployed in the future. The unmanned extended-range pure electric concept car designed by it has been unveiled at major auto show in China. .
Baidu has the world's largest "deep learning" network, supporting the most basic parameter of the order of magnitude is the trillion-level parameter, the generalized recognition rate in the vehicle environment is 92%; the image recognition capability accuracy is 89.32%, reaching the global the first. This is an important technical foundation and accumulation of unmanned vehicles on the road. At the same time, Baidu and Wuhu City of Anhui Province jointly signed a demonstration zone, a fully unmanned demonstration zone, and transformed Wuhu City into the largest fully unmanned driving in China through three stages. Area.
Intel acquired machine vision startup Itseez, in line with Intel's strategy to enter the Internet of Things and unmanned vehicles. Doug Davis, senior vice president of Intel Internet of Things, said: "Intel is transforming from a PC company to support future cloud computing and billions of smart IoT devices. These IoT devices will use Intel technology to process the data generated in the device. Connect to and learn from the data in the cloud to achieve a new experience."
As the world's largest chip maker, one of the IoT projects Intel is preparing is the driverless car. Davis pointed out that Americans spend about $75 billion a year on driving, and Intel adds new features to the car, such as functional safety, air software management, and the ability to see and understand the environment.
With regard to driverlessness, perhaps the ultimate goal is to create a completely autonomous car that will eventually lead to a world without traffic accidents. It can be found that many manufacturers have been focusing on the research and development of sensors and processing technologies to better help users develop unmanned vehicles. When faced with unmanned R&D, the problem is no longer whether we can Realization, but we "when" can achieve unmanned driving.
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