Buying an autonomous electric car like buying a laptop

buying laptop car
Image by Andrey Suslov | Bigstockphoto

Computer chips have been integral parts of vehicles for a long time, and buying a new car will soon feel like shopping for a new laptop. But no one really cares about chips until they stop working or they are late to the production line, grinding manufacturing to an industry-shaking halt. However, the research within IDTechEx’s “Semiconductors for Autonomous and Electric Vehicles 2023-2033” report shows that trends within the automotive industry mean consumers will soon be caring far more about what chips are in their cars.

buying laptop car
Semiconductor devices found on autonomous electric vehicles. Source: IDTechEx 

The main concerns when buying a laptop

What are the main concerns when buying a laptop? For most people, it’s things like how long the battery will last, how nice the screens are, and what computer chip it comes with. Evaluating a vehicle’s worth based on the number of cylinders, horsepower, and miles per gallon will soon be irrelevant. We already know that electric vehicles will be dominating the market soon, ticking off the choice of vehicle will be based on how long the battery lasts. But what about the other two criteria? 

The screenification of car cabins

It has been hard to escape the screenification of car cabins over the past few years. Even the cheapest cars on the market are available with some kind of central display, while the top end of the market is heading towards pillar-to-pillar style screens in the front. When IDTechEx attended CES, it was clear to see that the future cabin interior would be filled with screens. While this might sound exciting at the outset, consumers should be aware that for the automotive industry, this is a means to an end, where the end is extracting more money from drivers. The screens will facilitate more premium features in the vehicle and likely more subscriptions. 

Vehicles are becoming gaming devices

Like laptops, vehicles are also becoming gaming devices. Look at Tesla, for instance; it generated waves when it showed the Model S could run steam on its infotainment system, showing how Witcher 3 can be played when the vehicle is stationary. Mercedes went one step further; now that it has level 3 certification in both the US and Germany, it is possible for the driver to play video games while the car drives itself, up to a speed of 40mph. However, where Tesla is playing games one might expect of a modern gaming laptop, the Mercedes allows the play of Tetris, Sudoku, and some mobile gaming titles. Perhaps Mercedes will need to step up its game. 

As cool as it might be, gaming in vehicles is perhaps a gimmick or novelty. The real computation power in modern and future vehicles will be used to drive autonomous systems. The report found that this is where the most advanced semiconductor technologies are being used. Most computer chips around the vehicle, the kind that are used to open windows or adjust wing mirrors, use quite mature technologies. These chips have node sizes normally above 40nm (nanometers).

On the other hand, modern smartphones have chips that use a 4nm process, with smaller processes offering more computing power. However, the coming chips that will power autonomous driving systems will be much closer to the cutting edge, using technologies in the 1-5nm region. 

This is where the laptop comes in

This is where laptops come back in. A high-performance gaming laptop might be using a graphics card from Nvidia, the giant in the gaming industry. The graphics cards take information from the CPU and turn it into an image for the screen. One of the main computational tasks for an autonomous vehicle is to take data from each of the cameras, radar, LiDAR, etc., and turn it into a 3D map of the environment and identify all the vehicles and all the people around the vehicle.

These two processes are rather similar, meaning that Nvidia has expanded into the automotive space, offering top-end, high-performance computing for autonomous applications. Their recent announcement regarding the planned Thor product with 2,000 TOPS of computing power is an order of magnitude more powerful than most of the chips on the market today aimed at ADAS (advanced driver assistance systems) applications. 

Autonomous vehicles

The industry is already starting to market its models based on the performance of its autonomous features. Polestar, the electric branch of Swedish automaker Volvo, has recently added details about its front-sensing capabilities to its advertising campaign. It boasts that its front radar/camera combination has a range of 200m and a field of view of 45˚. This is fairly new, and it is hard to think of another car company advertising based on its sensing capabilities.

That also makes it hard to benchmark. All electric cars are marketed based on the range their batteries can deliver, making it easy to compare. But if only one is advertising the range and field of view of its sensing, how does one know whether it is any good? Luckily IDTechEx’s “Automotive Radar 2022-2042” and “Lidar 2023-2033: Technologies, Players, Markets & Forecasts” reports detail what makes a good sensor for autonomous vehicles and provide benchmarking of products on the market. 

What’s inside?

In the future, automakers like Mercedes and BMW will be selling vehicles with marketing like Nvidia inside or Mobileye inside, just like a laptop might be bought that says intel inside today. They will become system integrators, like how Lenovo will buy CPUs from Intel or AMD, RAM from Microchips, and screens from LG and put them together into its own packaging.

Automakers will buy an electric powertrain from one company and an autonomous system from another and bundle it into their branded packaging. This means consumers will choose cars based on how long the battery will last, how nice the screens are, and what computer chip it comes with. 

Although this article focuses on microcontrollers, the report gives a holistic and comprehensive coverage of semiconductors throughout the car, including ADAS, autonomy, LiDAR, radar, cameras, 4G connectivity, 5G connectivity, electric powertrains, MCUs, SOCs and more. Click here for more information, including downloadable sample pages.

By Dr James Jeffs, Senior Technology Analyst at IDTechEx

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