Autopilot was active when a Tesla crashed into a truck, killing driver

NTSB report says driver engaged Autopilot 10 seconds before the deadly crash.

Timothy B. Lee – May 16, 2019 1:10 pm | 686

Credit: National Transportation Safety Board

Banner is the second Tesla customer to die this way

It’s never good news for Tesla when one of its cars is involved in a deadly crash. But this incident is particularly awkward for Tesla because it so closely mirrors the circumstances of the very first Autopilot-related death.

In May 2016, Joshua Brown was driving his Model S on another Florida highway when a semi truck made a left turn in front of his vehicle. Brown had Autopilot engaged, but he apparently didn’t notice the truck. Brown’s car smashed into the trailer at 74mph (120km/h), shearing off the top of the vehicle and killing Brown.

While both systems were called Autopilot, Brown’s and Banner’s cars actually had completely different driver assistance technologies. The Autopilot system in Brown’s Model S was based on technology supplied by Mobileye, an Israeli startup that has since been acquired by Intel. Brown’s death reportedly contributed to the two companies parting ways later in 2016.

Since late 2016, Tesla vehicles have shipped with a second-generation Autopilot system that Tesla developed in-house. By the time of Banner’s death, Tesla’s engineers had had more than two years to improve the system and avoid a repeat of the situation that led to Brown’s death.

Adaptive cruise control systems like Autopilot traditionally rely mostly on radar to avoid running into other vehicles on the road. Because radar can detect Doppler shifts, it is good at detecting moving objects. But it is not good at recognizing stationary objects (or objects, like a truck crossing the road, that are not moving in the car’s direction of travel). Radar systems lack the angular resolution to distinguish a truck crossing the road from a large street sign suspended over the road, so they tend to simply ignore stationary objects. That has led to Tesla cars (and cars from other manufacturers) plowing into parked cars and concrete barriers.

Theoretically, it should be possible to detect the side of a truck using cameras. But it’s not always easy. In some lighting conditions, for example, the side of a trailer might be hard to distinguish from the sky behind it.

Most other companies working on fully self-driving technology use lidar sensors to supplement cameras and radar. Lidar sends out laser beams and measures how long it takes for them to bounce back. Then it builds a three-dimensional point-cloud of the vehicle’s surroundings—that would have made it easy to detect a large object like a truck trailer.

Unfortunately, lidar with sufficient range and reliability for self-driving applications still costs tens of thousands of dollars, making it impractical for mainstream use in customer-owned cars. Tesla CEO Elon Musk has offered a different criticism of lidar, describing it as a crutch that will actually hamper companies’ progress toward full self-driving.

Whatever you think of that argument, it’s still worth asking whether lidar could have prevented the crash that killed Jeremy Banner.