Enabling high-precision sensing will be critical for future autonomous driving. Having the right sensors and radar-related controllers is necessary to prevent accidents and provide safety in traffic. Renesas, www.renesas.com, meets this challenge with a new line of RH850/V1R microcontrollers, specifically designed for radar-based applications in ADAS (advanced driver assistance systems).

With the expansion of ADAS, sensors are fast becoming a key technology. Currently vehicles are being equipped with a wide variety of sensors such as cameras, Lidar, and ultrasonic sensors. Radar sensors are required for advanced emergency braking and adaptive cruise control. Unlike other sensors, radar sensors are not negatively affected by external environmental limitations such as rain, fog, or whether the sun is shining or not.

High-precision sensing becomes critical to meet the increasing requirements of range resolution, separation of objects, and precision in measuring velocity. This requires increased numbers of antennas and boosting of the signal processing performance.

Designed for middle- to long-range sensors, the new Renesas series delivers improved radar signal processing performance and increased sensing accuracy through optimized digital signal processing, advancing the concept of autonomous-driving vehicles.

Renesas applied its technology to a driverless Lincoln MKZ vehicle being shown at the CES gathering January 2017. The all-new, SAE Level 4, www.sae.org, autonomous vehicle, developed on a Lincoln MKZ, was realized through close collaboration between Renesas and its partners: AutonomouStuff, www.autonomoustuff.com, Cogent Embedded, www.cogentembedded.com, PolySync, www.polysync.io, QNX, www.qnx.com, NewFoundry, www.thenewfoundry.com, eTrans Systems, www.etranssystems.com, and the University of Waterloo, www.uwaterloo.ca.

Upgrades to the previously unveiled development platform announced in October 2015 include sensor fusion and forward camera using the Renesas R-Car H3 SoC (system-on-chip), 3D 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 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.