288万辆车被查！特斯拉在全球面临调查诉讼，FSD却迎重大升级，国内车主已开始OTA？

Core Points - The National Highway Traffic Safety Administration (NHTSA) has announced an investigation into approximately 2.88 million Tesla vehicles equipped with the Full-Self Driving (FSD) system due to over 50 reports of traffic safety violations and accidents [1] - The investigation includes 58 reports, with 14 accidents resulting in 23 injuries, raising concerns about the FSD system's ability to recognize traffic signals and stop at red lights [1][2] - Tesla's stock price fell by 5.06% to $413.49 per share, resulting in a market capitalization loss of approximately $7.322 billion following the news [1] Investigation and Legal Challenges - The NHTSA has been investigating Tesla's Autopilot system since August 2021, with at least 322 accidents reported, highlighting "critical safety gaps" [4] - Tesla faces multiple lawsuits globally, including a recent case in Florida where a jury ruled Tesla liable for a 2019 accident, ordering $240 million in damages [4] - In China, Tesla is facing lawsuits related to the FSD feature's marketing and actual performance, with claims of fraud from car owners [4][5] Safety Data and Comparisons - Tesla vehicles using Autopilot or FSD experience an accident every 6.69 million miles, while those not using these features have an accident every 0.963 million miles [2] - In comparison, the NHTSA reports that a vehicle collision occurs approximately every 0.702 million miles in the U.S. [2] FSD System Updates - Tesla has begun rolling out a significant update to the FSD system (version V14.1), which includes ten new features aimed at improving environmental perception and response capabilities [6] - The update is seen as a step towards enhancing the FSD's functionality, despite ongoing scrutiny and legal challenges [6][9] Industry Perspectives - The debate continues regarding Tesla's "pure vision" approach to autonomous driving, which relies solely on cameras and neural networks, as opposed to using lidar for enhanced safety [8] - Experts express concerns about the limitations of vision-only systems in certain conditions, suggesting a mixed approach may be more effective in ensuring safety [8]