2026年3月19日 美国东部时间上午10:07 / 路透社
作者:Akash Sriram
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一辆特斯拉Model 3在美国加利福尼亚州达纳角(Dana Point)行驶,搭载FSD 14.2.2.3自动驾驶辅助软件,拍摄于2026年1月28日。路透社/Mike Blake 购买许可权,打开新标签
- 摘要
- 公司
- NHTSA调查特斯拉FSD系统的能见度检测问题
- 九起事故与特斯拉FSD系统相关,其中一起致命
- 特斯拉未来战略依赖FSD系统的可靠性和安全性
3月19日(路透社)- 美国汽车安全监管机构周四扩大了对特斯拉(TSLA.O)驾驶辅助系统的调查,以评估其在识别道路状况恶化方面的有效性。此前已有九起与该技术相关的事故,其中一起造成致命后果。
美国国家公路交通安全管理局(NHTSA)表示,此次工程分析是在早期初步审查之后进行的,并将调查范围扩大到约320万辆不同型号的特斯拉汽车,这些车辆均配备了该系统,涵盖了美国道路上的大多数特斯拉车辆。
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此次调查加剧了对自动驾驶技术的监管审查,而自动驾驶技术是特斯拉打造机器人出租车车队以支撑其未来发展的核心。目前特斯拉正将重心从表现不佳的汽车业务转向这一方向。
特斯拉所谓的”完全自动驾驶(FSD)”技术主要依赖摄像头,而非Waymo等竞争对手使用的雷达和激光雷达等传感器组合。该公司已在德克萨斯州奥斯汀推出了有限的机器人出租车服务,并计划在今年迅速扩大服务范围。
NHTSA周四表示,此次调查聚焦于特斯拉的”降级检测”系统,该功能旨在识别车辆基于摄像头的技术在强光、灰尘或其他空中障碍物等情况下无法可靠感知道路时的状况,并警告驾驶员接管车辆。
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如果监管机构发现安全缺陷,可能会导致召回或其他执法行动。特斯拉通常通过空中软件更新来解决安全问题。
特斯拉未立即回应路透社的置评请求。
NHTSA表示,公司分析显示,如果在事故发生时安装了降级检测系统的更新,可能会影响其中三起事故。
NHTSA称,现有数据引发担忧:无论是最初部署的系统还是后续更新后的系统,都可能无法检测到能见度降低的情况,或未能提供充分警告。
该机构预计将审查更新后系统的性能,包括其部署时间、推广范围,以及是否提高了系统检测能见度问题并及时提醒驾驶员的能力。
NHTSA确认的两起事故也造成了人员伤亡。
在多起事故中,系统直到碰撞前才识别出影响摄像头能见度的状况或发出警报,从而限制了驾驶员的反应时间。
该机构还发现了其他事故,包括一些系统未能跟踪或检测到前方道路车辆的情况。
报道:Akash Sriram,班加罗尔报道;编辑:Shinjini Ganguli和Anil D’Silva
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NHTSA deepens probe into Tesla’s driver-assistance system
March 19, 2026 10:07 AM UTC / Reuters
By Akash Sriram
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A Tesla Model 3 is shown driving on the highway with FSD 14.2.2.3 self driving-supervised software in Dana Point, California, U.S., January 28, 2026. REUTERS/Mike Blake Purchase Licensing Rights, opens new tab
- Summary
- Companies
- NHTSA investigates Tesla’s FSD system for visibility detection issues
- Nine crashes linked to Tesla’s FSD system, including one fatal
- Tesla’s future strategy relies on FSD system’s reliability and safety
March 19 (Reuters) – The U.S. auto safety regulator on Thursday deepened a probe into Tesla’s TSLA.O driver-assistance system to evaluate its effectiveness in identifying degraded road conditions after nine crashes linked to the technology including one that was fatal.
The National Highway Traffic Safety Administration said its engineering analysis follows an earlier preliminary review and broadens the probe to about 3.2 million Tesla vehicles across multiple models equipped with the system, covering most vehicles on U.S. roads.
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The probe intensifies regulatory scrutiny of the self-driving technology central to Tesla’s ambitions to build out a fleet of robotaxis that would underpin its future, as the company shifts focus away from an ailing auto business.
Tesla’s so-called Full Self-Driving (FSD) technology relies mainly on cameras rather than a combination of sensors such as radar and lidar used by several rivals such as Waymo. It has launched a limited robotaxi service in Austin, Texas, and plans to expand the offering rapidly this year.
NHTSA said on Thursday its probe focuses on Tesla’s “degradation detection” system, a feature designed to recognize when the vehicle’s camera-based technology cannot reliably perceive the road, such as in glare, dust or other airborne obstructions, and to warn drivers to take control.
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It could lead to a recall or other enforcement action if regulators find a safety defect. Tesla typically rolls out over-the-air software updates to resolve safety issues.
Tesla did not immediately respond to a Reuters request for comment.
The company’s analysis showed that if an update to the degradation detection system was installed at the time of the crash, it may have affected three of the incidents, NHTSA said.
NHTSA said available data raised concerns that the system, both as originally deployed and after subsequent updates, may fail to detect reduced visibility or provide adequate warnings.
The agency is expected to examine the performance of the updated system, including when it was deployed, how widely it has been rolled out and whether it improves the system’s ability to detect visibility issues and alert drivers in time.
Two of the crashes NHTSA identified also involved injuries.
In several of those crashes, the system did not recognize conditions that impaired camera visibility or issue alerts until just before impact, limiting the driver’s ability to respond.
The agency also identified additional crashes including some where the system lost track of or failed to detect a vehicle ahead in its path.
Reporting by Akash Sriram in Bengaluru; Editing by Shinjini Ganguli and Anil D’Silva
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