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Network Interface For infotainment And Advanced Driver Assistance Systems (ADAS)

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Microchip MOST150 Intelligent Network Interface Controller (INIC)

The MOST150 Intelligent Network Interface Controller (INIC) from Microchip Technology Inc. enables automotive manufacturers and tier one suppliers to incorporate Media Oriented Systems Transport (MOST) networks in a daisy-chain configuration on coaxial physical layer with the support of full-duplex communication, in addition to a ring topology. With a full-duplex daisy-chained network, a single cable segment is sufficient to connect two adjacent devices in the network, reducing cables and connectors for the back channel on each network connection. It also eliminates the return wire connecting the last node of the network to the first.

Using Microchip’s OS81119 INIC is intended to allow customers to simplify the network architecture of automotive in-vehicle infotainment systems by using integrated coaxial physical layer (cPHY), optical physical layer (oPHY), daisy-chain topologies or creative hybrid combinations. Customers currently using MOST150 systems can also migrate to new topologies or daisy-chain additional nodes with little hardware and software redesign.

MOST technology is a choice for automobile manufacturers and tier one suppliers for in-vehicle networking. It specifically targets infotainment and telematics applications such as smart antennas, head units, amplifiers, digital clusters, rear seat entertainment, Advanced Driver-Assistance Systems (ADAS), driver/passenger information systems and public transportation infotainment and information systems.

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Advances in Intelligent Vehicles (Intelligent Systems)

Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. 

This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. 

Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques.

The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. 

Its scope includes theoretical studies, design methods, and real-world implementations and applications.

  • Provides researchers and engineers with up-to-date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems
  • Covers hot topics, including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications
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