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Federal Safety Probe Targets Tesla’s Robotaxi Full Self-Driving Software

Federal safety investigators from NHTSA have sent Tesla detailed questions about its Full Self-Driving (Supervised) software amid plans to launch a robotaxi service. The inquiry centers on how Tesla evaluates safety, especially in low-visibility conditions like fog and rain. Tesla’s robotaxi service, currently in early employee testing, has raised regulatory scrutiny following reported crashes and concerns about the system’s readiness for public roads.

Published May 12, 2025 at 04:06 PM EDT in Software Development

The National Highway Traffic Safety Administration (NHTSA) has initiated a detailed investigation into Tesla’s Full Self-Driving (Supervised) software as the company prepares to launch its robotaxi service. This inquiry focuses on understanding how Tesla evaluates the safety and operational readiness of its autonomous driving technology, especially under challenging low-visibility conditions such as fog, rain, and sun glare.

Tesla has publicly announced plans to deploy a paid robotaxi ride-hailing service in Austin, Texas, and the San Francisco Bay Area, currently operating in an early testing phase with select employees. According to Tesla’s April 23 social media post, the service has completed over 1,500 trips and 15,000 miles, contributing to the development and validation of its Full Self-Driving networks and related operational systems.

The investigation was prompted by four reported crashes involving Tesla vehicles using the Full Self-Driving (Supervised) software in low-visibility scenarios. NHTSA’s Office of Defects Investigation has sent Tesla a series of questions aimed at clarifying the relationship between the robotaxi’s automated driving system and the existing FSD Supervised product, the size and composition of the robotaxi fleet, and how Tesla plans to ensure safety on public roads.

A critical aspect of the inquiry is how Tesla intends to manage operations in reduced visibility conditions such as fog, airborne dust, rain, snow, and sun glare. These environmental factors pose significant challenges to autonomous driving systems, requiring robust sensor fusion, real-time data processing, and fail-safe mechanisms to maintain safety.

Tesla CEO Elon Musk has indicated that the robotaxis will eventually operate using an "unsupervised" version of the Full Self-Driving software, which would not require driver intervention. However, the current investigation focuses on the supervised version, which mandates driver supervision and readiness to take control.

This regulatory scrutiny highlights the broader challenges facing autonomous vehicle developers in balancing innovation with safety and compliance. As companies like Tesla push the boundaries of driver-assistance technologies, federal agencies are intensifying oversight to ensure public safety on increasingly complex roadways.

For developers, businesses, and policymakers, this investigation underscores the importance of rigorous testing, transparent safety evaluations, and clear communication with regulators when deploying advanced autonomous systems. The evolving landscape demands robust software development practices, comprehensive data analysis, and proactive risk management strategies.

QuarkyByte’s expertise in software development and regulatory compliance can empower stakeholders to navigate these complexities effectively. By leveraging our insights and solutions, organizations can enhance the safety, reliability, and acceptance of autonomous driving technologies, accelerating their path to market while meeting stringent safety standards.

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