CES 2017: Schaeffler To Present Autonomous Driving Visions

Posted: Dec 8 2016, 9:49am CST | by , in News | CES

 

CES 2017: Schaeffler to Present Autonomous Driving Visions
Credit: ET Auto
  • Schaeffler to Present Autonomous Technology at CES 2017
 

Schaeffler is going to present new visions related to technology to the event.

Schaeffler which is a known German automotive and industrial ball bearings maker will be presenting its new ideas in the Consumer Electronics Show 2017.

According to the company they are offering the concepts of putting visions of electric vehicles, autonomous vehicles and networking into reality. Peter Gutzmer, the Deputy CEO and Chief Technology Officer, is of the opinion that they are going to provide compact mobility solutions for urban areas.

They are working on a bio-hybrid model. According to them their new facility will change the urban future of mobility.

According to the Schaeffler CEO, their products are not only based n sketched but they will showcase ready to go prototypes. Thus is the reason they are sure to have the active products in market soon after producing them in masses.

Schaeffler is also going to address the new issues such as digitalization. The rolling bearing is regarded as the conventional product of technology and is going to become the sensor for the networked automobiles of the future.

The new technology uses sensor castings that are incorporated in the bearings at microscopic level. This will allow the sensors to measure torques and revolutions per second. The sensors will have the capability to collect temperature too.

According to Schaeffler, their sensor bearings are designed in a way that they will be able to get fitted in any place and will have the ability to bear any type of pressure.

Their concept include autonomously driven taxis with a very tiny carbon print which will be equal to almost nothing. These will provide maximum mobility in the highest efficient way possible as the sensors used by company will provide them with highly accurate data.

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