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The first year of intelligent driving: the revolution of 3000 lines of code, who will be the final winner?
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2024 is destined to be a year that will go down in the history of the automobile industry
This year, the wave of new energy vehicles swept the world, the call for intelligence is deafening, and automatic driving, the most dazzling pearl on the science and technology tree, is fading the coat of the concept at an astonishing speed, driving into reality, once, we think that autonomous driving is the future of the distant future, but now, it is thundering, knocking on our door
The fuse of this change is a quietly rising "code revolution", Tesla, the technology giant from Silicon Valley, with its disruptive technological innovation, detonated the wave of this revolution, 3000 lines of code, which is the core code volume of Tesla's FSDBetaV12 version, compared with the scale of hundreds of thousands of lines of code in traditional solutions, this number seems insignificant, but it contains subversive power
These 3,000 lines of code build a new autonomous driving architecture - "end-to-end", which is like a highly intelligent brain, integrating perception, decision-making, and control, and can directly output driving instructions only by receiving sensor data, simplifying the originally complex system to the extreme
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This revolution caused by code, like a pebble thrown into a calm lake, caused ripples and quickly swept the entire automotive industry
The Power of 3,000 Lines of Code: The Rise of End-to-End Intelligent Driving
The concept of "software-defined vehicles", driven by end-to-end technology, has shown unprecedented power, if the traditional intelligent driving solution is an "expert system" built on artificial rules, then the end-to-end is more like an "AI driver" that simulates the learning mechanism of the human brain
The traditional autonomous driving system relies on high-precision maps, complex sensor fusion algorithms and a huge rule base, just like an experienced "old driver", who performs driving operations step by step according to preset procedures
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The end-to-end intelligent driving does not rely on pre-set rules, but through the training of massive data, so that the AI model can learn driving behavior independently, and finally realize the perception, thinking, and decision-making like humans
Tesla, is undoubtedly the pioneer of this technological revolution, the launch of FSDBetaV12, marking the end-to-end technology from the laboratory to reality, its amazing performance, but also let the world see the future of autonomous driving, Musk has proudly said: "FSDBetaV12 will achieve a safer autonomous driving experience than human driving"
Tesla's success has also ignited the enthusiasm of domestic car companies, and companies such as Huawei, Li and Xpeng have invested heavily in developing their own end-to-end intelligent driving solutions
Huawei, with its deep accumulation in the ICT field, has launched the ADS3.0 autonomous driving system, which is the first to achieve end-to-end large-scale mass production on vehicles
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Li Auto combines end-to-end technology with self-developed high-precision maps to create the "urban NOA" function, and plans to achieve a national map-free city pilot by 2024 to further improve the user travel experience
Xpeng Motors has launched an end-to-end intelligent driving model composed of the perception model XNet, the regulatory model XPlanner and the large language model XBrain, and plans to adopt the intelligent driving solution of lidar on low-end models to promote the popularization of high-end intelligent driving
The intelligent driving war is on the verge of breaking out: the competition of various car companies
The emergence of end-to-end technology has broken the technical barriers of traditional intelligent driving solutions, and also rewritten the competitive landscape in the field of autonomous driving
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Tesla, with its first-mover advantage and strong brand appeal, has built a smart travel ecology with FSD as the core, attracting a large number of loyal users
Relying on China's huge market size and rich application scenarios, domestic car companies have explored a differentiated development path, and Huawei has chosen to cooperate with car companies to export its ADS autonomous driving solutions, empower partners, and build a smart car ecosystem
New forces such as Li Li and Xpeng insist on independent research and development, build full-stack self-developed autonomous driving systems, and continuously iterate and optimize through OTA upgrades to provide users with a more intelligent and convenient travel experience
In the end, it will be up to users to vote to decide the winner, and whoever can provide a safer, more reliable, and more convenient autonomous driving experience will win the future
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The future of high-end intelligent driving: opportunities and challenges coexist
The emergence of end-to-end technology has opened a new door for the development of autonomous driving technology, and also depicted a better blueprint for the future of the automotive industry
Although end-to-end technology shows great potential, it is still in the early stage of development, and the reliability of algorithms and system stability still need to be further improved
The second is the problem of cost control, the cost of high-end intelligent driving system remains high, which is an important factor restricting its popularization, how to reduce the cost of sensors, optimize the efficiency of algorithms, is the key problem that enterprises need to solve
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Issues in laws, regulations, ethics, and morality also need to be discussed and resolved by all sectors of society
With the continuous advancement of technology, the continuous reduction of costs, and the gradual improvement of relevant laws and regulations, high-end intelligent driving will surely enter thousands of households, change the way we travel, and reshape our lifestyle
Epilogue: The future has come, will you come?
The first year of intelligent driving is an important milestone in the history of autonomous driving technology, and it also heralds the arrival of a new era
In the future, who will be the ultimate winner of this intelligent driving war? Is it Tesla with a first-mover advantage? Is it Huawei, which has strong technical strength? Or is it a new domestic force that has come from behind? Let's wait and see
But one thing is for sure, the cars of the future will no longer be just cold machines, but intelligent companions that will take us further and explore the wider world
Are you ready?
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