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Imagination Smart Car Technology April Issue


With the opening of the 2021 Shanghai International Auto Show, “car” has become the key word in April. At the auto show, we can see cooler car designs, experience smarter and smarter car interactions, and learn about the most cutting-edge automotive technologies, all of which are presenting the development trend of future cars in an all-round way. As the world’s leading supplier of GPU IP, Imagination’s GPUs can be used in a variety of automotive SoCs, with a market share of more than 50% in the automotive field, enabling in-vehicle applications such as digital instrument clusters, surround view and infotainment systems.

Engineers at Imagination have written articles exploring ADAS, autonomous driving, and more from a variety of perspectives. At the same time, we also officially launched the Imagination Tensor Tiling white paper to provide solutions for achieving ultra-high computing power.

White Paper Download Imagination Tensor Tiling

For system designers, reducing external DDR system bandwidth is a primary requirement in hardware-accelerated inference systems. The reduction in DDR bandwidth not only equates to a reduction in power consumption, but also reduces the processing latency of running the network on the system. This article highlights how the Imagination Tensor Blocking Technology (IIT) in the IMG 4-Series Neural Network Accelerator (NNA) has been specifically designed to help SoC designers achieve these goals.

PowerVR Virtualization: Key Features of Automotive GPUs

Virtualization refers to the ability to allow a device to have one or more virtual machine (VM) hosts, and each virtual machine is like an independent machine, with its own operating system (OS), but all operations are are executed on the same underlying hardware device. For GPUs, this means that this feature can support multiple concurrently executing operating systems, each of which can submit graphics workloads to a single graphics processing hardware unit for processing.

electric car

Why is Efficiency Important for New Energy Vehicles?

As LV3 and LV4 autonomous driving technology becomes more and more popular, people’s demand for sensors continues to grow, more and more cameras, external lidar and even internal sensors to monitor the driver’s safety and attention, which is undoubtedly for the future of driving That’s a good thing, but one thing is very challenging: the consumption of electricity.

Will electric cars be the new smartphone?

Over the past 20 years, cell phones have grown from the simple Nokia 3310 (with a basic monochrome LCD screen) to pocket-sized supercomputers with touchscreens. Is the design process of electric vehicles also following up? When will they become an equally important part of our daily lives?

What is the role of chip IP suppliers in the electric vehicle revolution?

Often referred to as the “holy grail” of computer graphics, ray tracing technology generates three-dimensional scenes by simulating the behavior of light in the real world, giving developers a set of tools for incredibly realistic visuals. Ray tracing technology is detailed in this white paper, along with some of Imagination’s pioneering breakthroughs in this area.

Smart Cockpit from IP to Display: The Hierarchy of Automotive Systems

Computers have become the cornerstone of every aspect of car operation. There is a lot of talk about advanced driver assistance systems and autonomous driving, with everything from engine management and emissions control, to climate and human-machine interfaces (HMIs) powered by general-purpose graphics processing units (GPGPUs).

The Secret Behind the Electric Vehicle’s Digital Dashboard

In recent years, various Display methods have appeared in cars, from digital fuel gauges to LCD mileage counters. Today, digitally rendered instrument clusters are standard in cars, providing not only a more advanced and superior experience, but also huge benefits for automakers.

Why are vision systems critical to autonomous driving?

Imagination’s embedded GPUs offer market-leading performance, low power consumption and small size while supporting the industry’s latest application programming interfaces. These advantages make our IP well-suited to meet the high performance required by the automotive industry, and our GPUs can also provide the GFlops-level processing power required for future ADAS-based computing applications. Make the 360 ​​panoramic view of the car smarter and safer!

With the advancement of modern vehicle safety technology, advanced driver assistance (ADAS) technologies such as Surround View have become the new standard in modern vehicles. This article uses a video demonstration to show how accurate real-time reflections and AI can detect obstacles to improve the performance of surround view systems and make cars safer.

Why do we create safety-critical automotive GPU accelerator drivers?

Whether it’s a single large tablet-like device or an ultra-wide display, screens will dominate the next generation of cars. To capture consumer attention and help automakers differentiate their cars from competitors, manufacturers will These integrated, versatile and visually appealing 3D displays are needed – and of course this requires high-performance, low-power GPU products.


How far are we from ADAS to autonomous driving?

Although autopilot is an industry-leading L3 autopilot system that supports advanced driver assistance system functions, it still has a long way to go to achieve “fully autonomous driving”, and more technological innovations are needed to finally achieve this. a goal. Automakers need to be braver to accelerate innovative hardware, put the processing power created on the road, and start accumulating that data.

Self-driving cars: how far are they on the road?

Self-driving cars are the most important machines ever developed by automakers, and there is no rush, a slow-moving approach is the right approach. Imagination can support you on your journey to develop autonomous driving applications. Like our PowerVR GPU IP and our Neural Network Accelerator (NNA) IP.