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Recently, Tesla's "turmoil" has continued, and Tesla's deliveries in the first quarter of 2024 fell short of market expectations, which disappointed Wall Street and others. Tesla is rumored to have abandoned its plan for a cheap electric car (Wall Street calls it Model 2), and Tesla bulls have warned that it will be an "epic disaster" if it really abandons this plan. Tesla plans to release the robotaxi on August 8, hoping to make a comeback, but Wall Street and the market don't seem to buy it, and Deutsche Bank and Barclays have successively downgraded their ratings and price targets.
Affected by these events, Tesla's stock price has fallen by more than 40% this year. Under this pressure, Tesla has taken remedial measures in an attempt to boost sales by cutting prices globally. On Saturday, Tesla Inc. announced that it would cut the price of its Full Self Driving system by a third to $8,000. Prior to this, the company also slashed the prices of three of its five models sold in the United States by $2,000. Analysts believe the price cut is the latest evidence of the challenges facing the EV maker.
Musk has said that "achieving full self-driving capabilities is critical to Tesla, and he even said that if this is not done, Tesla's value will be "essentially zero." ”
However, Tesla's "FSD" price cut has sparked heated discussions on the whole network, and many people have questioned it. Subsequently, Tesla CEO Elon Musk responded to the question about "Tesla's frequent price adjustments" on social media, pointing out that the price under the traditional dealer model is also unstable, and the suggested retail price does not represent the actual selling price, and only "fools" will fully believe the suggested retail price.
Musk stressed that Tesla must constantly adjust prices to ensure that production matches market demand, which is one of the keys for Tesla to stay ahead of the market competition.
Looking back at the development of the autonomous driving industry from "Tesla's FSD 'FSD' cuts by one-third":
-- The evolution of autonomous driving technology architecture
According to the "Autonomous Driving 3.0 Era, Large Models Reshape the Intelligent Technology Route of Automobiles" released at the 2023 (7th) Gaogong Intelligent Vehicle Annual Conference, the autonomous driving of mainland China has entered the 3.0 era.
The 1.0 era of autonomous driving is hardware-driven, mainly relying on lidar and artificial rules to provide autonomous driving solutions. The 2.0 era is software-driven, characterized by sensors outputting results separately and providing autonomous driving solutions with small models and less data. The 3.0 era is a data-driven era, which uses multi-modal sensors to jointly output results and provides autonomous driving solutions in the mode of large model big data.
According to the national standard "Classification of Automobile Driving Automation" (GB/T 40429-2021), the current autonomous driving of automobiles is still in the stage of L2 "partial autonomous driving" and L3 "conditional automatic driving".
-- Key investment tracks for autonomous driving technology: full-stack solutions for autonomous driving are key focus areas
From the perspective of the hot track of autonomous driving investment and financing in mainland China, from 2022 to 2023, the financing of autonomous driving full-stack solutions will be relatively hot, with the number of related financing events accounting for 44%, in addition, enterprises in subdivided technology fields such as autonomous driving freight, lidar, and autonomous driving chips will also have high financing enthusiasm.
-- The technical layout of autonomous driving enterprises
At present, the ways in which relevant companies enter the autonomous driving business are different: traditional car companies adopt a "progressive" route, starting with relatively basic and low-difficulty assisted driving, and gradually realizing L1/L2/L2+ assisted driving functions. Internet companies such as Google, Baidu, and Huawei have chosen the "leapfrogging" route, new car-making forces such as "Wei Xiaoli" are aiming at L3 step-by-step development, and technology companies such as Baidu and Huawei are aiming for transformational leadership.
According to the report of the Prospective Industry Research Institute, autonomous driving technology, as one of the important applications in the field of artificial intelligence, is gradually entering our lives and becoming an important development direction of future transportation, playing an important role in the improvement of traffic safety, the optimization of traffic efficiency and the choice of travel modes. Autonomous driving has already been used in a variety of fields, such as public transportation, taxis, logistics and distribution, and urban infrastructure. In the future, with the further development of technology and the improvement of regulations, it is expected that more application scenarios will emerge.
At the same time, the Qianzhan Industry Research Institute said that with the development of 5G, cloud computing, Internet of Things and other technologies, the performance and stability of the autonomous driving system have been greatly improved. In terms of key technologies such as perception, decision-making, and execution, in the future, autonomous driving technology will achieve more breakthroughs and market applications, and continue to develop in a more efficient, safer, and intelligent direction.
Prospective Economist APP Information Group
For more research and analysis of this industry, please refer to the "China Driverless Vehicle (Autonomous Vehicle) Industry Development Prospect Forecast and Investment Strategic Planning Analysis Report" by Qianzhan Industry Research Institute.
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