Posts Tagged ‘Self-Driving Cars’

Domino’s Robot Pizza Delivery In Houston

April 22, 2021

Domino’s Robot Pizza Delivery In Houston

Perhaps believing there aren’t enough unemployed delivery drivers in Texas, Domino’s Pizza will deliver pies via Nuro R2 autonomous robot vehicles in Houston. Domino’s selling point to customers: no tipping.

Houston traffic. Robot cars with a top speed of 25 MPH. Texan gun ownership rate. What could possibly go wrong?


More:

“Nuro’s self-driving robot will deliver Domino’s pizza orders to customers in Houston,” Kim Lyons, The Verge

“Houston, we have a robot: Nuro, Domino’s team up for autonomous pizza delivery,” Brian Straight, Modern Shipper, via FreightWaves

“Beep Beep: Domino’s Is Testing a Self-Driving Delivery Car,” Jenny G. Zhang, Eater

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Top image by Mike Licht. Download a copy here. Creative Commons license; credit Mike Licht, NotionsCapital.com

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Tesla Self-Driving System Fooled by Stickers on Pavement

April 5, 2019

Researchers from Tencent Keen Security Lab successful attacked Tesla’s self-driving system, fooling it by placing small stickers near traffic lane markers in the roadway.

“…[T]hey were able to use ‘small stickers’ on the ground to effect a ‘fake lane attack’ that fooled the autopilot into steering into the opposite lanes where oncoming traffic would be moving. This worked even when the targeted vehicle was operating in daylight without snow, dust or other interference.”

— “Small stickers on the ground trick Tesla autopilot into steering into opposing traffic lane,” Cory Doctorow, BoingBoing

This was anticipated by James Bridle‘s 2017 video work “Autonomous Trap 001, a work-in-progress” (above).

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Self-Driving Car Trap

June 7, 2018

Autonomous Trap 001, a work-in-progress by James Bridleh/t:  Jason Kottke

Related:

“Most people expect driverless cars to become common, and they worry about it,” Ashley Halsey III, Washington Post

Update:

“Small stickers on the ground trick Tesla autopilot into steering into opposing traffic lane,” Cory Doctorow, BoingBoing

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