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

  • Predicting the future for video camera systems
    March 12, 2012
    Jo Versavel, Managing Director of Traficon, talks about near-term trends in video camera systems. Jo Versavel starts by making one thing clear: long-term forecasts as to what the future holds for video-based traffic monitoring are to all intents and purposes meaningless. The state of the art is developing so fast that in reality it's impossible to say where we'll be in 10 years' time, says the Managing Director of Traficon. In his opinion making firm predictions even five years out is too ambitious, whereas
  • Denso and Toyota Tsusho use Quantum computer to analyse IoT data
    December 19, 2017
    Denso and Toyota Tsusho (TT) have joined forces in Thailand to process vehicle location and travel data in real-time from around 130,000 commercial vehicles using D-Wave Systems' quantum computer to process data from a traffic IoT platform. The test aims to advance research and development on technology for connected vehicles and transportation systems.
  • Next-generation cloud-based traffic control
    December 3, 2012
    Supplier of in radar speed displays and variable message signs, All Traffic Solutions, has selected ThingWorx to support advanced application development for its SmartApps web-based traffic control suite. All Traffic’s cloud-based SmartApps suite allows law enforcement organisations, as well as state and local agencies, to remotely monitor, manage, and interact with traffic safety signs using a web-based application and virtual map. To support increased customer demand for new features and an overall increa
  • Renesas launches driver safety system connectivity
    December 18, 2014
    Semiconductor solutions supplier Renesas Electronics’ new RH850/P1x-C series, a high-end version of the RH850/P1x series of 32-bit automotive microcontrollers (MCUs) has been designed with the development of self-driving car and other driver assistance systems in mind.