The National Highway Traffic Safety Administration (NHTSA) has launched a comprehensive investigation into Tesla’s Full Self-Driving (FSD) software, encompassing approximately 2.4 million vehicles across the company’s fleet. This probe comes in response to several reported collisions, including one that resulted in a pedestrian fatality and another in an injury.
The investigation covers multiple Tesla models, including the Cybertruck, Model 3, Model S, Model X, and Model Y. The NHTSA’s primary focus is to evaluate the FSD software’s capability to detect and respond appropriately in conditions of reduced visibility.
The Office of Defects Investigation (ODI) has identified four specific cases where Tesla vehicles using FSD or FSD-Supervised modes crashed in areas with compromised roadway visibility. These incidents occurred in conditions such as sun glare, fog, and airborne dust, which significantly impaired visibility on the road.
In an official statement, the NHTSA’s Office of Defects Investigation said: “The Office of Defects Investigation (ODI) has identified four Standing General Order (SGO) reports in which a Tesla vehicle experienced a crash after entering an area of reduced roadway visibility conditions with FSD-Beta or FSD-Supervised (collectively, FSD) engaged. In these crashes, the reduced roadway visibility arose from conditions such as sun glare, fog, or airborne dust. In one of the crashes, the Tesla vehicle fatally struck a pedestrian. One additional crash in these conditions involved a reported injury.”
This investigation marks a significant development in the ongoing scrutiny of autonomous driving technologies and their safety implications. The NHTSA’s probe aims to thoroughly assess the capabilities and limitations of Tesla’s FSD software, particularly in challenging environmental conditions. The outcome of this investigation could have far-reaching consequences for Tesla and potentially impact the broader autonomous vehicle industry.
As the investigation unfolds, it will likely draw attention to the complexities of implementing self-driving technologies and the critical importance of ensuring their safety in various real-world scenarios. The results may influence future regulations and standards for autonomous driving systems, not just for Tesla but for the entire automotive industry.
