The controversial engineer at the center of
Anthony Levandowski, a former Uber engineer, told
While the Guardian didn’t confirm the details of his trip, if it occurred as Levandowski described, it marks the longest recorded trip by a self-driving car without a human taking over.
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He shot timelapse footage of his entire trip across the country in a video titled ‘A Weekend Drive.’
It’s not the first time Levandowski tried to complete the daunting feat: He tried once in late September, but only got as far as Utah, then again two weeks later, when he was pulled over by a Utah cop for driving too slow, according to the Guardian.
Levandowski shared details of the trip as part of an announcement that he’s launching a new autonomous driving startup, called Pronto.ai.
Pronto.ai is developing a semi-autonomous driver-assistance system (ADAS), named Co-Pilot, that’s targeted for commercial semi-trucks.
The firm hopes to have the technology available for sale by the first half of 2019.
The software can control the vehicle’s speed, make sure the truck stays in its lane and prevent collisions.
Levandowski, an ex-Uber engineer, says he completed a cross-country trip in a self-driving car. If true, it’s the longest recorded trip by a self-driving car without human intervention
Levandowski says he didn’t touch the vehicle’s steering wheel or pedals during the four-day, 3,099-mile trip from San Francisco to New York City, aside from the occasional rest stop. Pictured is the moment he drove across the George Washington bridge into New York City
It’s similar to Autopilot, the technology created by Elon Musk’s Tesla that’s already being used in its high-end electric sedans.
‘Driving a truck is a really hard job, and we think Co-Pilot can make it a lot easier on drivers, and reduce fatigue, while increasing safety,’ Levandowski told the Guardian.
For the cross-country journey, Levandowski rode in a modified Toyota Prius that was equipped with video cameras, computers and digital maps.
Unlike other self-driving software, Co-Pilot doesn’t rely on Lidar, or remote sensing technology that measures distance by shooting a laser at a target.
Instead, it’s made up of six cameras that are placed around the vehicle, while can understand a vehicle’s current surroundings and predict its future environment.
Unlike other self-driving software, Co-Pilot doesn’t rely on Lidar, or remote sensing technology that measures distance by shooting a laser at a target. Instead it uses cameras and AI software
For the cross-country journey, Levandowski rode in a modified Toyota Prius that was equipped with video cameras, computers and digital maps to enable its semi-autonomous features
Images collected by the vehicle’s cameras are sent to a computer in the trunk of the car, which is running AI software that quickly processes the data
Images collected by the vehicle’s cameras are sent to a computer in the trunk of the car, which is running AI software that quickly processes the data, the Guardian explained.
One-half of the AI flags common objects, like obstacles and signs, while the second part of the software uses that information to control the driving.
Another camera records the driver to make sure they’re alert and awake.
Tesla’s Elon Musk has previously pledged to drive an autonomous vehicle coast-to-coast, but has put it on hold several times.
With the successful cross-country trip under his belt, Levandowski now faces the challenge of marketing the tech to the broader industry given his scandal-ridden past, the Guardian noted.
Levandowski will also have to try the semi-autonomous software out in a commercial truck, after testing it in a Prius.
Anthony Levandowski (pictured) now faces the challenge of marketing Pronto.ai’s semi-autonomous tech to the broader industry given his scandal-ridden past at Waymo and Uber
WHO IS ANTHONY LEVANDOWSKI?
Anthony Levandowski is best known for helping create Google Street View and engineering Waymo and Uber’s self-driving cars.
Levandowski was at the heart of a legal fight between Google’s parent company Alphabet and Uber.
Waymo, the self-driving car subsidiary which Alphabet owns, sued and later settled with Uber, claiming it stole trade secrets to make their own self-driving cars.
The engineer they say is responsible for the theft is Levandowski who they allege downloaded 14,000 secret files before leaving Google in 2016 after nine years at the company.
A month after his departure, he founded Otto, a company which specialised in self-driving trucks.
Seven months later, Uber acquired Otto and Levandowski began working on the ride-sharing company’s self-driving cars.
In February this year, Alphabet filed a multi-billion lawsuit against Uber and Otto accusing it of stealing trade secrets.
Levandowski was called to give evidence in March but he pleaded the Fifth Amendment throughout, refusing to answer questions on the grounds that his answers may incriminate him.
‘I know what some of you might be thinking: “He’s back?” Yes, I’m back,’ he wrote.
‘The “why” is fairly simple: I’m back because it’s my life’s passion to make the life-saving potential of autonomous vehicles a reality.
‘“Reality” means real autonomous vehicles solving real problems for real people, while actually improving safety on real roads,’ he added.
Levandowski told the Guardian that Pronto’s goals are ‘very concrete,’ adding that he believes ‘we can deliver.’
Waymo, which is owned by Google parent company Alphabet, alleged that Levandowski stole trade secrets from it before he left to go to Uber.
Levandowski was called to give evidence in the trial but he pleaded the Fifth Amendment throughout, refusing to answer questions on the grounds that his answers may incriminate him.
An article from the New Yorker also detailed how Levandowski took a ‘move fast, and break things’ approach to testing autonomous vehicles and, at times, ignored safety requirements.
WHAT IS LIDAR TECHNOLOGY AND HOW DOES IT WORK?
Lidar is a remote sensing technology that measures distance by shooting a laser at a target and analysing the light that is reflected back.
The technology was developed in the early 1960s and uses laser imaging with radar technology that can calculate distances.
It was first used in meteorology to measure clouds by the National Center for Atmospheric Research.
The term lidar is a portmanteau of ‘light and ‘radar.’
Lidar uses ultraviolet, visible, or near infrared light to image objects and can be used with a wide range of targets, including non-metallic objects, rocks, rain, chemical compounds, aerosols, clouds and even single molecules.
A narrow laser beam can be used to map physical features with very high resolution.
This new technique allowed researchers to map outlines of what they describe as dozens of newly discovered Maya cities hidden under thick jungle foliage centuries after they were abandoned by their original inhabitants.
Aircraft with a LiDAR scanner produced three-dimensional maps of the surface by using light in the form of pulsed laser linked to a GPS system.
The technology helped researchers discover sites much faster than using traditional archaeological methods.