Investigations
FSD Collisions in Reduced Roadway Visibility Conditions
NHTSA Engineering Analysis EA26002 - open, opened 2026-03-18.
Among 871 NHTSA Engineering Analysis files in PlainCars' ODI extract, this record (EA26002) is one published case in that type class .
NHTSA investigation EA26002 is a Engineering Analysis opened on 2026-03-18 and currently open. The subject is tracked inside the Office of Defects Investigation queue. Latest activity on this investigation was logged on 2026-03-18 - NHTSA updates that field whenever an Information Request goes out, a supplement is filed, or a status change is recorded in the public docket.
An Engineering Analysis like EA26002 is the deeper technical phase that follows a PE. NHTSA requests design, warranty, and field-failure data from the manufacturer, conducts its own testing when needed, and determines whether the evidence supports a safety defect finding that would compel a recall.
Investigators summarized the matter as follows: "The Office of Defects Investigation (ODI) is opening this Engineering Analysis to evaluate Tesla’s Full Self Driving Beta and Full Self Driving (Supervised) (collectively, FSD) degradation detection system. The focus of..." Investigations are the early-warning layer of the federal auto-safety system, sitting upstream of formal recalls and defect orders. Whether this one closes without action or escalates into an Engineering Analysis, the full history stays in the ODI archive so researchers, litigators, and buyers can pull the paper trail at any time.
Investigation Summary
The Office of Defects Investigation (ODI) is opening this Engineering Analysis to evaluate Tesla’s Full Self Driving Beta and Full Self Driving (Supervised) (collectively, FSD) degradation detection system. The focus of this investigation will be to assess the system’s ability, when encountering reduced roadway visibility conditions, to detect degradation and alert the driver with sufficient time to respond. ODI will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications by Tesla to the degradation detection system, including the timing, purpose, and capabilities of the updates, and Tesla’s assessment of their safety impact. Tesla’s FSD is an advanced driver assistance system (ADAS) that relies exclusively on vision-based cameras and the related FSD software to detect and respond to the roadway ahead, projecting a path forward based on traffic control devices, vehicles, pedestrians, and the roadway itself. When Tesla began transitioning away from using both cameras and radars to an exclusively camera-based approach, known as Tesla Vision, in mid-2021, it developed and implemented a degradation detection system that it deployed by a software update to existing and new Tesla vehicles. On June 28, 2024, the day after Tesla submitted the SGO report of the November 28, 2023 fatal crash listed in this document, Tesla began developing an update to the degradation detection system. At this time, ODI does not have information on when the update was deployed and which vehicles have the updated system. ODI discussed individual incidents and its initial findings during the PE phase of its investigation with Tesla. As part of those discussions, Tesla’s post-incident analysis indicated that the update to the degradation detection system, had it been installed on the vehicles at the time, may have affected 3 of the 9 incidents identified by ODI. Tesla also described internal data and labeling limitations that prevented a uniform identificat
About This Investigation Type
An Engineering Analysis (EA) is the in-depth phase following a Preliminary Evaluation. NHTSA engineers conduct testing, collect data from manufacturers, and perform detailed technical analysis to determine whether a safety defect exists. An EA may lead to a voluntary recall by the manufacturer or, in rare cases, a mandatory recall order.
Data from NHTSA Office of Defects Investigation. Cross-references: NHTSA recall campaign API and NHTSA FARS where fatality records overlap. PlainCars does not rate or recommend vehicles. about how PlainCars sources NHTSA data.
Read our methodology - how this data is sourced, computed, and verified.