Renesas Electronics America, a premier supplier of advanced semiconductor solutions, today announced the addition of an all-new highly autonomous vehicle to its development fleet and significant upgrades to previously unveiled advanced driver assistance systems (ADAS) development vehicles in the fleet. These vehicles provide a comprehensive vehicle-level development platform designed to move the future of autonomous driving and automotive technology.
Conceived as an open laboratory for automotive customers, the Renesas development fleet enables the development of safe, integrated solutions that extend beyond silicon. The all-new, SAE Level 4 autonomous vehicle, developed on a Lincoln MKZ car model, was realized through close collaboration between Renesas and its partners: AutonomouStuff, Cogent Embedded, PolySync, QNX, NewFoundry, eTrans, and University of Waterloo.
“Together, the Renesas driving development platform vehicles represent a major step forward for our partners and customers. With this solutions platform, we’ve reduced design risk, and accelerated interoperability testing and time to market, with development efforts centered on enablers such as ISO 26262 compliance for functional safety, low-power operation, and automotive-grade embedded solutions,” said Amrit Vivekanand, Vice President, Automotive Business Unit, Renesas Electronics America. “We’re proud of the long-standing relationships we’ve built with our partners, and of the truly integrated vehicle platform that has resulted from this effort. We look forward to sharing our vision for moving the future of autonomous driving at CES 2017.”
Upgrades to the previously unveiled development platform that was announced in October 2015 include sensor fusion and forward camera using the Renesas R-Car H3 system-on-chip (SoC), 3-D surround view pedestrian and vehicle detection with an on-chip IMP-X5 parallel programmable engine, Ethernet surround view camera enhancements, and rear blind spot alert.
The driverless Lincoln MKZ vehicle showcases high-performance algorithms for vehicle, lane, and sign detection, and to manage path planning, behavior, and motion control. It incorporates a state-of-the-art combination of camera perception compute, ISO 26262 automotive functional safety standard ASIL-D compute, and low power consumption of approximately six watts per R-Car H3 SoC, resulting in a 24-watt embedded solution.
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