U.S. probes Tesla’s ‘full self-driving’ system after crashes in low visibility
- by Global News
- Oct 18, 2024
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Posted October 18, 2024 6:00 pm
4 min read Business Matters: Elon Musk pursues self-driving approval in China
Musk has said that humans drive with only eyesight, so cars should be able to drive with just cameras. He has called lidar (light detection and ranging), which uses lasers to detect objects, a “fool’s errand.”
The “Full Self-Driving” recalls arrived after a three-year investigation into Tesla’s less-sophisticated Autopilot system crashing into emergency and other vehicles parked on highways, many with warning lights flashing.
That investigation was closed last April after the agency pressured Tesla into recalling its vehicles to bolster a weak system that made sure drivers are paying attention. A few weeks after the recall, NHTSA began investigating whether the recall was working.
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NHTSA began its Autopilot crash investigation in 2021, after receiving 11 reports that Teslas that were using Autopilot struck parked emergency vehicles. In documents explaining why the investigation was ended, NHTSA said it ultimately found 467 crashes involving Autopilot resulting in 54 injuries and 14 deaths. Autopilot is a fancy version of cruise control, while “Full Self-Driving” has been billed by Musk as capable of driving without human intervention.
The investigation that was opened Thursday enters new territory for NHTSA, which previously had viewed Tesla’s systems as assisting drivers rather than driving themselves. With the new probe, the agency is focusing on the capabilities of “Full Self-Driving” rather than simply making sure drivers are paying attention.
Michael Brooks, executive director of the nonprofit Center for Auto Safety, said the previous investigation of Autopilot didn’t look at why the Teslas weren’t seeing and stopping for emergency vehicles.
“Before they were kind of putting the onus on the driver rather than the car,” he said. “Here they’re saying these systems are not capable of appropriately detecting safety hazards whether the drivers are paying attention or not.”
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