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Autonomous AI for Human-like Performance

By Auto Tech Outlook | Wednesday, March 27, 2019

Artificial intelligence permeates every person's lives by recognizing their smartphones, recognizing voices, analyzing the pictures, and has the capabilities for natural language processing. In the next few years, in most new consumer devices, AI will run natively, locally, and more autonomously.

Renesas' automotive Systems-on-Chip (SoC) series R-car has moved forward toward its second generation to ensure that the driver's sitting experience is transformed into a higher level of safety and comfort. High-level technology is supported by advanced SoC devices and informative, sophisticated displays, typically combined with modern aircraft cockpits. The department of Renesas Automotive Information provides an update on the development of driving experience and will then highlight their latest R-Car platform solutions.

Cortica is the developer of the next generation 'Autonomous AI' which uses unsupervised learning' to imitate the way people experience themselves and to integrate the world around them. Cortica will open up the way to mass deployment of ADAS and Automated Driving (AD) applications throughout the automotive industry. Cortica will begin instantly with the use of the state-of-the-art computer vision system Cortica for front-facing cameras and Renesas to use its advanced platform product. Cortica offers the most accurate central sensing engine directly available on the Renesas R-Car V3H SoC for all current and future ADAS features by using the low calculator nature of Cortica technology. The joint effort will introduce a robust and scalable open platform perception solution with unrivaled accuracy and performance, faster reaction time, and overall security changes for ADAS. The Cortica solution demo at CES shows a new, safer, and smarter generation of auto operations with unprecedented execution times directly on the Renesas chip.

Automotive engineers are working very hard to achieve better human-machine interfaces (HMIs), which monitor drivers and provide genuinely supportive updates to automobile status. It makes data presentations more useful, in particular by the use of head-up displays (HUDs), which directly project critical information into the windshield in the normal view of the driver. The increasing demand of the consumer for new information, communication, and entertainment features, and detailed monitoring, status and alarm graphics, is also being integrated by development teams in vehicles to meet faster response high-definition displays.

The development of autonomous vehicles has developed into a more mature process that demands performance like human beings, which means zero tolerance for safety and efficiency in a traffic environment. Simulation is a key technology to achieve this objective in parallel to expansive road tests to develop and validate self-employed vehicles on a wide scale.

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