英語 での Driverless の使用例とその 日本語 への翻訳
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Driverless cars will not simply replace cars that have human drivers.
Safety and legal questions remain, but 2017 is expected to be the year that driverless cars take a spin into the.
In 1993, a driverless New Tram train went out of control, injuring more than 200 people.
The NVIDIA DRIVE Pegasus computing platform has been designed to handle Level 5 driverless vehicles and compute over 320 trillion operations per second.
In particular see this post As Uber and Tesla struggle with driverless cars, Waymo moves forward.
Safety and legal questions remain, but 2017 is expected to be the year that driverless cars enter the mainstream.
Connected devices, driverless cars and advanced health tech are just a handful of the new technologies API-first design will enable.
Again, one area where edge computing can shine is in the ongoing development of driverless cars.
Google's internet businesses, including its search engine and maps app, were separated from more experimental projects like driverless cars.
ANSYS VRXPERIENCE simulation platform has been designed and developed to support this type of iterative process for cutting-edge, driverless systems.
Safety and legal questions remain, but 2017 is expected to be the year that driverless cars take a spin into the mainstream.
These rules protect public safety, promote innovation and lay out the path for future testing and deployment of driverless technology.
Driverless new technology, driver is integrated on PCB board, save cost price.
Just last year, Rinspeed grabbed the spotlight with its XchangE, a concept car designed to make driverless travel possible.
In the driverless future, traditional car companies will get less of the margin for every mile traveled by consumers.
Like many other big automakers, Toyota is pumping resources into driverless cars.
Technology companies are testing driverless cars in some cities as we speak.
Our metro is a world-class, fully automated, driverless Railway System.
The Google driverless car is not the only extraordinary machine learning example out there.
Reaching your destination by high-tech: driverless Ride-Hailing requires even more processing power than autonomous driving.