is the car company’s “chatgpt moment” coming? chery, weilai, xiaopeng and others "take action"
2024-09-28
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china business daily (reporter lei kexin)with the rapid development of artificial intelligence technology, more and more car companies have begun to pay attention to the application of large ai models in the field of smart cars. recently, chery automobile co., ltd. applied to register two "cherygpt" trademarks, marking an important step in the field of automotive intelligence.
in recent years, major car companies have increased their technological investment in areas such as intelligent driving and internet of vehicles in order to take advantage of the future car market. as the popularity of large-scale ai models in cars surges, is the automotive industry’s “chatgpt moment” coming?
automobile companies open up the intelligent track
a reporter from china business daily saw in tianyancha's intellectual property information that chery automobile co., ltd. applied to register two "cherygpt" trademarks, which are internationally classified as scientific instruments and website services. the current trademark status is awaiting substantive review.
recently, while automobile companies have been improving prices and configurations, they have also not forgotten to compete fiercely on the intelligent track.
in addition to chery automobile, nio, xpeng motors, li auto and other new car-making forces are not far behind and have applied for gpt-related trademarks, such as nio's "niogpt" and "nomigpt", xpeng motors' "xpgpt" ”, and li auto’s “mindgpt”, etc. at the same time, brands such as wenjie, jiyue, jikrypton, and zhiji are competing to pursue this technological trend and have launched related new models equipped with large ai models.
in the field of intelligent driving, tesla is also accelerating its deployment in the chinese market. previously, tesla stated that it expected the fsd (full self-driving) function to enter the chinese market in the first quarter of 2025 and is currently in the regulatory approval stage.
as domestic and foreign car companies have joined the melee of large models, the capabilities of these large models have become the focus of attention both inside and outside the industry.
wang peng, associate researcher at the beijing academy of social sciences, told reporters, "autonomous driving technology is one of the most eye-catching applications of ai in the automotive industry. ai large models can handle complex driving decision-making tasks, including path planning, obstacle recognition, vehicle control, etc. through continuous learning and optimization, the autonomous driving system can gradually improve driving safety and comfort. in addition, the field of intelligent cockpit is also an important scenario for the application of ai large models, which can deepen semantic understanding and optimize corpus generation, so as to achieve accurate results. capture users’ intentions and needs and provide natural, smooth and logical answers and suggestions.”
wang peng said, "ai large models can also provide users with personalized services. for example, intelligent voice assistants can understand the user's environment and emotional state, recommend corresponding music, movies, e-books and other content to help users during travel relax and enjoy a fun-filled driving experience.”
angel investor and senior artificial intelligence expert guo tao told reporters, "the application prospects of large ai models in the field of smart cars are very broad. ai large models can be used for vehicle energy management, optimize battery usage efficiency, and extend cruising range. these applications can not only improving vehicle safety and driving performance can also significantly enhance users’ driving experience and promote the continuous advancement of smart car technology.”
cars’ “chatgpt moment” still has to wait
in recent years, my country's national and local levels have intensively promulgated a series of regulations, policies and standards, providing a solid guarantee for the rapid development of the intelligent and connected automobile industry.
on september 26, the state administration for market regulation held an on-site promotion meeting and national standards press conference for the exchange of experiences on safety standards for intelligent connected vehicle driving assistance and chain stabilization in shenzhen, guangdong province. six recommended national standards for intelligent connected vehicle driving assistance, including "technical requirements and test methods for intelligent connected vehicle combined driving assistance systems part 1: single lane driving control", and "intelligent connected vehicle information security technical requirements" were released at the meeting. 》 and other 3 mandatory national standards. the release of these standards further improves the intelligent connected vehicle standard system and is of great significance to improving the consistency of intelligent connected vehicle products, supporting industry supervision, ensuring the safety level of intelligent connected vehicles, and promoting the healthy and sustainable development of the industry.
in addition, beijing, guangzhou, qingdao, xi'an and other places have also issued relevant policies to continue to focus on key areas such as ai large models and intelligent connected vehicles. the "beijing city promotes "artificial intelligence +" action plan (2024-2025)" issued by beijing proposes to generate simulation data such as roads, vehicles, people flow, and weather based on large models to accelerate autonomous driving simulation training and optimize the vehicle-road cloud network. integrated technology route, explore fsd, asd and other bicycle intelligent technologies, and build an intelligent, efficient and safe urban transportation network.
with technological breakthroughs and policy support, the "chatgpt moment" of intelligent connected cars is gradually approaching. however, although the prospects for "getting onto the car" with large ai models are broad, there is still a long way to go before practical applications.
guo tao analyzed to a china business daily reporter, "although car companies are actively deploying large-model technology to improve the level of vehicle intelligence, they still face many challenges in practical applications. running large-scale ai models requires powerful computing resources, which may increase costs. and affects real-time performance. security and reliability are also crucial. car companies must ensure that the decision-making of ai systems is safe and reliable to avoid potential system errors or risks of malicious exploitation.”
zhang xiaorong, president of the deepin technology research institute, also told reporters, "how to ensure user privacy and data security is an issue that car companies need to pay attention to and solve. in addition, because the car is a complex means of transportation, it also needs to consider various practical considerations. traffic environment and road conditions, therefore when implementing the application of large ai models in smart cars, a lot of field testing and optimization work is required.”
