Processors enhance digital cockpit integration
To enable customers to augment infotainment and pair informational ADAS features, Texas Instruments has added signal processing functionality to the DRA75x processors. This combination will allow customers to produce cars with digital cockpit integration as well as traditional infotainment features without compromising performance. Delivering a diverse portfolio of products with hardware and software compatibility, the Jacinto 6 EP and Jacin...
Processor develops sophisticated ADAS applications
Designed to help car manufacturers develop sophisticated advanced driver assistance systems (ADAS) applications, the TDA3x processor family has been released by Texas Instruments. Using the automotive SoC family, manufacturers can develop ADAS applications that meet or exceed NCAP requirements, reduce collisions on the road and enable a more autonomous driving experience in entry- to mid-level automobiles.
Automotive connectivity chips on parade in Detroit
Broadcom has been demonstrating its strengths at the 2014 SAE Convergence Conference & Exhibition by showcasing its full line of automotive connectivity technologies, including the BroadR-Reach Automotive Ethernet portfolio and wireless combo chips. Industry analysts predict 100 percent of new cars to be Internet-enabled by 2025, an industry revolution that will redefine the driving experience
Allies plan automated driving innovations
Vector and BASELABS have formed a partnership with the goal of jointly creating products and services for the development of Advanced Driver Assistance Systems (ADAS) and automated driving. Vector will focus on special software tools for the development of ADAS and automated vehicles. BASELABS concentrates on software for data fusion in multiple-sensor scenarios, including the necessary algorithms.
Industry’s first backside illumination image sensor
OmniVision Technologies has announced what the company claims to be the automotive industry’s first backside illumination (BSI) image sensor and a powerful companion processing chip. The OV10640 BSI sensor offers high dynamic range of up to 120dB in highly compact automotive-grade packages.
Virtual Road Traffic with ASM Traffic 3.0
dSPACE has extended its simulation model for traffic and environment simulations to support the development and testing of advanced driver assistance systems. dSPACE ASM Traffic 3.0, part of the Automotive Simulation Models (ASM) library, has all the features necessary for using simulation to test active safety systems - such as autonomous emergency braking and emergency steering assistance. Engineers using this technology can verify ...
Detect road hazards with AFE sensor technology
Texas Instruments has introduced the industry’s fastest and lowest power baseband receiver analog front end (AFE) for ADAS applications. The 4-channel AFE5401-Q1 is designed for the next generation of automotive radar applications where space constraints and increasing radar performance are driving a need for greater bandwidth, high integration and low power.
Four-channel video decoder improves driver safety
Designed for around-view automotive applications, Intersil has announced a four-channel analogue video decoder with a built-in analogue video encoder. The TW9966 can replace up to five discrete components to simplify design and save board space with four analogue video decoders and an analogue video encoder integrated into a single chip.
Processor can recognise lanes, road signs & vehicles
The introduction of the TMPV7502XBG signals an expansion of Toshiba Electronics Europe's line of TMPV750 image recognition processors. Designed for small-size camera modules, the device can be used in ADAS that recognise lanes, road signs, vehicles and pedestrians from images collected by cameras positioned around the car and in electronic side mirrors.
More intelligence through cross-vendor standardisation
Building automation must meet increasingly stricter demands as more and more disciplines need to be integrated into intelligent control systems. All the necessary technologies already exist. The real challenge today is to combine the partial solutions of different manufactures and various communication standards. An open network based on standards paves the way for "artificial intelligence".