Updatable Cars Could Be the Future of an Autonomous Vehicle

Updatable Cars Could Be the Future of an Autonomous Vehicle

  • In order to create Autonomous Vehicle driven by AI, NVIDIA and Jaguar Land Rover have announced their partnership.
  • Beginning in 2025, the technology will be there in every new JLR vehicle.
  • According to NVIDIA, the technology would allow them to update the vehicles with new features and capabilities.

There is still a long way to go until Autonomous Vehicles are widely in use. If NVIDIA has its way, you may soon be able to upgrade new features in your self-driving cars wirelessly. Just as you do with your smartphone.

In order to jointly develop automated driving systems and AI-enabled software-defined services for all of its new vehicle platforms scheduled for production to start in 2025. Jaguar Land Rover (JLR) and NVIDIA have formed a cooperation.

In the past, an automobile was at its finest when it was driven off the lot. According to Danny Shapiro, vice president of automotive at NVIDIA, in an email to Lifewire. The automobile will be at its most basic level the day you take delivery, and it will only become better over time, so we’re flipping it on its head now.

Aging Like Wine

Software-defined automobiles, according to Shapiro, are a continuation of the industry’s shift away from fixed-function gadgets. According to him, modern consumers want all of their electronics. From smartphones to smart TVs, to become better over time thanks to fresh software upgrades.

According to Shapiro, this software-defined approach is also transforming transportation. It makes cars safer and more effective than ever while. It also including features that make life easier for both drivers and passengers.

“At NVIDIA, we’re making it our mission to build self-driving technology that allows safer. Less crowded roads and mobility for everybody because we truly believe that the future of transportation is autonomous,” Shapiro said.

Autonomous Vehicles

However, it’s simpler said than done. NVIDIA found that conventional car designs were never made to enable a software-first approach. When it initially started moving toward autonomous vehicles (AV). Most cars have dozens of electronic control units (ECUs) spread out throughout the vehicle. But each one having a specific job to complete.

Shapiro said that NVIDIA’s strategy for a contemporary vehicle architecture is focused upon centralized computing and stacks of software. It utilize artificial intelligence rather than hard-coding certain functionalities into ECUs.

The auto industry would be able to incorporate and upgrade cutting-edge software technologies for the duration of the vehicle’s life. Its thanks to this uniform architecture, known as NVIDIA Drive Hyperion. “These software-defined cars will be continually updateable devices that become better and better over time, just like a mobile phone, which receives frequent software upgrades.”

Automotive Software-Defined

The NVIDIA DRIVE Hyperion software-defined platform, according to Shapiro, is a whole computer and sensor architecture. The system is to be modular so that automakers can quickly select the precise parts and features they require and have access to approved radar, video, ultrasonic, and lidar sensors.

The modular and extensible architecture is there to shorten development times and save costs, which, according to Shapiro, would enable a partner like JLR to benefit from NVIDIA’s experience rather than having to start from scratch.

This modular and adjustable strategy, according to Olivier Blanchard, Principal Analyst at Creative Strategies, has altered the autonomous car scene. Blanchard said that traditional automakers were still attempting to catch up to Tesla on the front of Advanced Driver Assistance Systems (ADAS) a few of years ago, branding the automotive business as the next competitive battleground for chipmakers.

But according to Blanchard, the automobile industry’s race towards highly autonomous cars is now much flatter. This, according to Blanchard, is mainly because of modular platforms like NVIDIA’s Drive, which, prior to the latest JLR alliance, was already present in Mercedes, Volvo, and Hyundai cars and appears to be particularly alluring to EV companies.

Shapiro thinks that legacy automobile models will be in use for several more decades despite advancements in AV technology. Even with regard to AVs, their introduction will take place in phases, with the initial generations focusing mostly on Level 2+ and Level 3 driving assistance. Regardless of the capabilities of the driving system, they nevertheless call for the driver to be attentive and constantly prepared to take control.

Safety must ultimately take precedence over all other considerations. We want to make sure that when it comes to safety and human lives, we not only get it right but also never get it wrong.

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Frequently Asked Questions

1.In what ways will autonomous vehicles alter society?

In the upcoming years, autonomous cars have the potential to have a huge influence on society. On the plus side, fewer accidents involving vehicles and better utilization of travel time might result in a social gain of more than $750 billion annually in the US alone. You will get to know more when you read more about this in internet.

2. What are the societal concerns with autonomous vehicles?

Public acceptability is a significant societal barrier to the adoption of autonomous automobiles. While many individuals are intrigued by the idea and promise of driverless cars, there are also those who are afraid of the technology due to worries about job losses, safety, security, and privacy. You will get to know more when you read more about this in internet.

3. Do people desire self-driving cars?

Consumers say they are interested in self-driving vehicles to the tune of 47%. Even though driverless vehicles are not yet a common sight in daily traffic, one in four smartphone users said they would prefer one to one they were driving themselves. You will get to know more when you read more about this in internet.

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