In 2017, artificial intelligence entered a new era of growth. From the rise of smart retail to the emergence of autonomous vehicles, AI became a symbol of this intelligent age and the next big challenge. By 2018, it was hailed as the year of AI, with blockchain technology also gaining momentum. The question was: how close were we to a fully intelligent future? This became the central theme of the year, shaping the direction of technological development.
But what exactly is the difference between driverless and autonomous driving? While both are related to self-driving technology, they represent different levels of automation. For instance, when a car can drive itself with minimal human intervention, that's called autonomous driving. Companies like Audi, Volvo, and Mercedes-Benz have introduced features that allow cars to handle certain tasks without constant human input.
However, driverless technology takes it a step further. In a true driverless vehicle, there is no need for a human at all. The machine makes all the decisions. Google’s self-driving car is a perfect example—no steering wheel, no pedals, just a start and stop button. Once you set your destination, the car handles everything else. That’s the real definition of driverless technology.
Baidu has been at the forefront of this movement, and its efforts have brought driverless cars into the spotlight. However, as this technology develops, so does the need for clear regulations. Recently, Beijing introduced detailed guidelines for autonomous vehicle testing, marking an important step in making this technology safer and more legitimate.
According to the new rules, any self-driving car tested on public roads must pass a comprehensive evaluation system. The test includes various driving scenarios, from basic maneuvers to complex situations. To pass, the vehicle must score at least 80 out of 100 points. This includes tests on traffic signal recognition, vehicle control, emergency response, and more.
For example, reversing into a parking space must be completed within 3.5 minutes, while parallel parking should take no longer than 1.5 minutes. On rainy days, the car must adjust speed and use appropriate lights. In school zones, it must slow down to under 30 km/h. If an emergency occurs, the system must stop within two seconds and hand control back to a human.
There are also strict penalties for mistakes. If a car fails to follow traffic signals or slips more than 30 cm during a start, it could be deemed unqualified. These rules are designed to ensure safety and reliability before full-scale deployment.
While full autonomy is still a work in progress, the foundation is being laid. With cities like Beijing setting the pace, the future of AI-driven transportation looks promising. As more companies invest in this field, we’re witnessing a transformation not just in technology, but in how we live and move through the world.
The journey is ongoing, and though the full vision of a driverless future may still be ahead, one thing is certain—the age of intelligent mobility is here to stay.
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