Solution Brief: The Intel® Atom™ processor E3800 product family for SoC entry-level intelligent systems offers reliability, security. (v.1, Nov. 2013)
Solution Brief: Solve reliability, media, and security Internet of Things challenges with the Intel® Atom™ processor E3800 product family, delivering SoC solutions for entry-level intelligent systems in an array of business segments. (v.1, Nov. 2013)
Guide: Build a customized kernel with Tizen* In-vehicle Infotainment (IVI) 3.0 M2 kernel 3.10 OS for the Intel® Atom™ E3800 series. (v.1.1, May 2014)
This document is a guide to building a customized kernel and booting it with the Tizen* In-vehicle Infotainment (IVI) 3.0 M2 Kernel 3.10 Operating System for the Intel® Atom™ E3800 Series Platform. (v.1.1, May 2014)
White Paper: Application Power Guidelines based on realistic power consumption estimates for Intel® Embedded processors. (v.001, Dec. 2010)
White Paper: Application Power Guidelines based on realistic power consumption estimates for Intel® Embedded processors, allowing developers to choose an application that meets workload and energy use requirements. (v.001, Dec. 2010)
Paper: Intel® EMGD video image presentation using the sprite display plane for IVI reduces the demand on the graphics engine. (v.1.0, May 2014)
Paper: Intel® EMGD video image presentation using the sprite display plane for image conversion in In-Vehicle Infotainment (IVI) applications reduces the demand on the graphics engine, improving performance. (v.1.0, May 2014)
To fully realize the opportunities of next-generation ADAS technology, the car will require more computing muscle.
Collaboration will be the engine that drives the transformation as car makers nurture relationships with the right technology companies that bring track records of experience addressing these key challenges from compute to security.
Introducing the Ford Mobii* prototype, a car and smartphone app combining interior cameras with car sensor data for better driving experiences.
Introducing the Ford Mobii* prototype, an Intel and Ford Motor Company collaboration that improves the driving experience by combining interior cameras with existing car sensor data and driver’s behavioral patterns for new driving capabilities.