Tesla’s recall of more than 2 million of its electric vehicles — an effort to have drivers who use its Autopilot system pay closer attention to the road — relies on technology that research shows may not work as intended
DETROIT — Tesla's recall of more than 2 million of its electric vehicles — an effort to have drivers who use its Autopilot system pay closer attention to the road — relies on technology that research shows may not work as intended.
Tesla, the leading manufacturer of EVs, reluctantly agreed to the recall last week after a two-year investigation by the U.S. National Highway Traffic Safety Administration found that Tesla's system to monitor drivers was defective and required a fix.
The system sends alerts to drivers if it fails to detect torque from hands on the steering wheel, a system that experts describe as ineffective.
Government documents filed by Tesla say the online software change will increase warnings and alerts to drivers to keep their hands on the steering wheel. It also may limit the areas where the most commonly used versions of Autopilot can be used, though that isn't entirely clear in Tesla's documents.
NHTSA began its investigation in 2021, after receiving 11 reports that Teslas that were using the partially automated system crashed into parked emergency vehicles. Since 2016, the agency has sent investigators to at least 35 crashes in which Teslas that were suspected of operating on a partially automated driving system hit parked emergency vehicles, motorcyclists or tractor trailers that crossed in the vehicles' paths, causing a total of 17 deaths.
But research conducted by NHTSA, the National Transportation Safety Board and other investigators show that merely measuring torque on the
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