Next-generation simulation slingshots advanced safety features closer to reality with multi-node and multi-client support

Budapest, Hungary, April 20, 2021 — AImotive, a global leader in automated driving (AD) technology, today announced aiSim 3.0, the next generation of the world’s first ISO26262-certified simulator for the development and validation of ADAS and AD systems. aiSim 3.0 brings multi-node and multi-client capability together with physics-based sensor simulation enabling high and measurable correlations between virtual and real-world testing from large-scale software-in-the-loop testing to real-time environments.

Multi-client support allows several ego vehicles or multi-ECU control systems to be placed in the same virtual environment to test interactions between numerous automated vehicles or system components. …

Demonstrating industry-leading NPU efficiency for demanding automotive vision NN workloads, as first samples delivered to lead customers

Budapest, Hungary and Seoul, South Korea, 15th April 2021 — AImotive, the world-leading supplier of scalable automated driving technologies and Nextchip Co., Ltd., a dedicated automotive vision technology company, today announced that AImotive has successfully demonstrated automotive NN (Neural Network) vision applications executing at up to 98% efficiency on the aiWare3P™ NPU (Neural Network Processor Unit) used on Nextchip’s latest Apache5 IEP (Imaging Edge Processor). Also featuring an advanced ISP supporting imaging sensors up to 5.7Mpixel …

Written by AImotive

Budapest, Hungary, March 24, 2021 — AImotive, the largest independent team working on automated driving technologies in Europe, today announced it has integrated the Khronos® Group’s Vulkan® API to improve raytracing performance in aiSim 3.0.

The world’s first ISO26262 certified, automotive-grade open simulator tool for automated driving development, aiSim, is designed to accurately and efficiently simulate all major sensor modalities required for automated driving. The next generation of the simulator, aiSim 3.0 will launch in April 2021.

aiSim can provide the highest coverage for various hardware platforms by utilizing the industry standard Vulkan API. Use of the…

Written by László Kishonti, CEO & Founder

Is the future electric, self-driving or both? The answer is complex and influenced just as much by long-term industry trends, regulation and consumer demands, as how quickly the technology develops. Let’s take a closer look.

There are many challenges in developing self-driving cars. For years, the industry was defined by lone wolves — everyone going at it alone. However, most players have now come to the realization that they can’t solve self-driving alone. As a result, the number of partnerships and collaborations has skyrocketed over the last couple of years.

It is obvious…

MathWorks, the leading developer of mathematical computing software for engineers and scientists, and AImotive, Europe’s most funded automated driving technology supplier have begun a collaboration to integrate RoadRunner into aiSim allowing users to easily create road and 3D networks for simulation in aiSim — the most deterministic and robust solution on the market!

Written by AImotive

MOUNTAIN VIEW, Calif., Feb. 16, 2021 — To enable end-to-end testing of automated driving software, a simulator must include a high-fidelity environment and realistic sensor simulation. To enable this, the simulator needs precise, well-defined maps and quality assets as input. …

Written by Tony King-Smith, Product Manager of aiWare

For embedded applications, the biggest challenge is taking a concept from a prototype in the lab to a production-ready solution: a product that is robust over a lifetime, certified to all the relevant standards, tested to ensure it always works, and cost-engineered to make sure it delivers a profit. You need tools designed to help engineers do that job as flexibly as possible.

However, with AI-based systems, the intelligence of the solution lies in the design of the Neural Networks (NNs), not the code used to execute them. …

Delivering automated driving and driver assistance functions for a brand-new vehicle designed from scratch is a huge opportunity. We can fine-tune the sensor setup, the processing platform, the vehicle signals, and find ways to integrate all of them in the vehicle as seamlessly as possible while maximizing the value offered to the driver.

Written by Péter Kovács, aiDrive Senior Vice President and Gábor Pongrácz, aiDrive Product Manager

The fact that we are part of designing this vehicle with one of the most renowned global- brands Sony only adds to our anticipation. This is the very first time Sony has worked…

Written by AImotive

Budapest, January 12, 2021 — AImotive, the most funded automated driving technology company in Europe, today announced it is working with Sony Corporation (“Sony”) to advance its automated driving software stack with Sony’s VISION-S Prototype. According to Sony, the VISION-S — announced at CES 2020 — is conceived to re-imagine mobility as we know it, by integrating the advanced ADAS and automated driving systems with the latest electric vehicle technology and an innovative entertainment system.

Sony disclosed an update of the VISION-S concept on January 11 at the all-digital CES 2021, highlighting that prototypes are already being…

Written by Synopsys

AImotive is building a comprehensive portfolio of complementary hardware and software technologies to enable automotive OEMs and Tier1s to rapidly develop and deploy high volume production solutions. AImotive’s products include aiDrive™, a modular automated driving software stack and aiSim™, a comprehensive simulation and design validation environment built around its proprietary physics-accurate rendering engine. The aiWare hardware IP is a highly optimized neural network acceleration hardware IP particularly targeting camera-centric AI solutions.

The smooth integration of Synopsys’ VCS, Verdi and VC SpyGlass™ RTL static signoff tools enabled AImotive to significantly improve the coverage of its regression testing and…

Written by Tony King-Smith, Product Manager of aiWare

Many automotive system designers, when considering suitable hardware platforms for executing high-performance NNs (Neural Networks) frequently determine the total compute power by simply adding up each NN’s requirements — the total defines the capabilities of the NN accelerator needed. Or does it?

The reality is almost all automotive NN applications comprise a series of smaller NN workloads. By considering the many forms of parallelism inherent in automotive NN inference, a far more flexible approach, using multiple NN acceleration engines, can deliver superior results with far greater
scalability, cost-effectiveness and power efficiency…

Read the full whitepaper here

AImotive Team

AImotive’s 220-strong team develops a suite of technologies to enable AI-based automated driving solutions built to increase road safety around the world.

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