Skip to main content

EsoftThings works with Renesas’ R-Car to realise autonomous driving

EsoftThings (EST) has announced it has joined Renesas’ R-Car Consortium to accelerate the development of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) with computer vision technology optimized for R-Car systems-on-chip (SoCs). The Renesas computer vision and cognitive Accelerator IMP-X5 of the R-Car SoCs are designed with the intention of processing huge amounts of real-time input from cameras and radar sensors that are being added to future models of cars.
November 8, 2017 Read time: 2 mins
EsoftThings (EST) has announced it has joined Renesas’ R-Car Consortium to accelerate the development of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) with computer vision technology optimized for R-Car systems-on-chip (SoCs).

The Renesas computer vision and cognitive Accelerator IMP-X5 of the R-Car SoCs are designed with the intention of processing huge amounts of real-time input from cameras and radar sensors that are being added to future models of cars.

EST is integrating and delivering a selection of algorithms on the Renesas autonomy platform by utilizing the dedicated on-chip accelerators providing high performance at low power consumption. In addition, EST provides training and consulting to Renesas partners and customers to enable the optimal use of the solutions in their target applications.

Eric Pinton, director at Renesas' Global ADAS Center, said: "eSoftThings have gained in-depth know-how of our accelerators for sensing and cognitive applications. This helps us to train our customers and partners to implement their solutions effectively as well as shortening time-to-market. We value eSoftThings as an important partner for our Renesas autonomy Platform. Therefore, we are pleased that they are now officially member of the R-Car Consortium."

Related Content

  • SmartDrive launch new suite of sensors to tackle high-risk driving behaviour
    November 2, 2017
    SmartDrive Systems has introduced its SmartSense for Distracted Driving (SSDD), the first in a new line of intelligent sensors that are designed with the intention of identifying dangerous driving habits and intervening with drivers before a catastrophic event occurs. It uses computer vision-based algorithms along with SmartDrive’s video analytics platform to recognize when a driver is distracted.
  • SPONSORED CONTENT: Using AI to achieve real traffic intelligence
    June 3, 2020
    The application of artificial intelligence has the potential to transform the performance of vision-based systems used for a wide and growing set of applications. These include vehicle presence detection and identification, count and classification, and enforcement, explains Roy Czinku of International Road Dynamics
  • Growth of ANPR applications for enforcement, tolling and more
    February 1, 2012
    Automatic number plate recognition continues to find new applications beyond the traditional. In coming years, we can expect the application set to grow significantly Moore's Law has seen to it that computer processing power has improved out of all comparison in the 30-plus years since the first working Automatic Number Plate Recognition (ANPR) system was created by the UK's Police Scientific Development Branch. The attendant increases in systems' capabilities have resulted in ANPR being deployed globally
  • Continental and BMW Group partner on automated driving
    February 27, 2013
    German automotive supplier Continental and BMW Group are pooling their development capacities to define the long-term prerequisites for series introduction of highly automated driving on European freeways. The two companies have signed an agreement to jointly develop an electronic co-pilot for this purpose, with the aim of paving the way to automated driving functions beyond the year 2020. “Automated driving is a key element in future mobility. It will significantly enhance safety, comfort and efficiency on