A look at the importance of data-driven development for autonomous driving with DXC Robotic Drive Cloud
Co-developed by DXC and Siemens, DXC Robotic Drive Cloud will be available in June and will enable the data-driven development of autonomous driving systems and fleet management with pre-integrated hardware and software.
Developed by DXC, the world’s leading independent end-to-end IT services company, the solution combines the expertise of two leading technology providers in autonomous driving technologies to create an efficient system that delivers the flexibility and scalability to meet the needs of customers across different industries — from automotive OEMs to automotive suppliers, logistics service providers and ride-hailing services such as Uber or Lyft.
What are the benefits of the robotic drive cloud for automotive companies?
Whether they be big, medium or small, almost every car manufacturer has been devoting resources to developing and testing self-driving cars. It’s a rapidly growing industry that’s worth more than $17 billion globally in 2016 alone, according to Bloomberg. And given all that money is pouring into it, you can imagine why car companies would want to ensure that they don’t fall behind — especially considering their competitors are racing toward self-driving cars while they still have human drivers behind their wheels.
According to Autonomous Driving News (ADN), some aspects of developing autonomous vehicles remain quite difficult — specifically those related to creating a high level of automation — which is what drives many auto manufacturers toward data-driven development and simulation tools.
How does Robot Drive work?
Robot Drive is a software platform that captures, analyzes and visualizes critical driving sensor data from vehicles. It then uses machine learning and artificial intelligence to intelligently predict how a vehicle will respond in any situation before it happens.
The DXC RoboticTM Drive cloud provides a global network to continuously collect, process and analyze that real-time sensory input from vehicles into meaningful insights faster than ever before. It also leverages prebuilt intelligence tools and algorithms provided by third parties.
By leveraging machine learning, Robot Drive can enable organizations to focus on developing new features, deploying patches or fixes more quickly and efficiently while increasing safety. All together these features provide an improved user experience through intelligent automation allowing humans to focus on more important tasks as robots take over repetitive tasks.
DXC robotic cloud – what does the cloud have to do with it?
Most cars today have as many as 100 electronic control units (ECUs) and up to 30 sensors, which work together to make driving safe. Considering how important ECUs are, it’s no surprise that many manufacturers opt to use cloud storage and computing power instead of onboard processing.
That’s why they outsource computer vision and AI functions. When you are trying to create a truly self-driving car – rather than one that assists human drivers – you need all your resources available in one place. As Dr.
DXC Robotic’s Approach to Facilitating Data Acquisition and Extraction from Autonomous Vehicles
From Cybersecurity to Autonomous Driving, Today’s Vehicles Possess An Incredible Amount Of Sensors And Collect A Significant Volume Of Data. This Data Is Valuable, But Companies Need To Find Ways To Harness It For Their Advantage.
Additionally, As Auto Companies Begin To Incorporate Large Amounts Of Sensing Technology Into Their Vehicles—With The End Goal Of Fully Autonomous Vehicles—The System’s Ability To Acquire And Use All Available Data Will Become Even More Important. However, Security Concerns Are Evident Within Vehicle Networks; This Is Where Advanced Tools That Help Alleviate Those Fears Can Play A Role In Shaping The Future Direction Of Car Development.
How DXC robotic drive cloud is helping the auto industry.
Autonomous vehicles have great potential to transform how we get around, but that vision is still a long way off. Until then, a combination of sensors and smart software will have to be put in place to make driverless cars a reality. That’s where DXC robotic drive cloud comes in. As an end-to-end solution for automotive manufacturers, it gives manufacturers and fleet operators access to detailed data from vehicle components — from sensors, actuators and controllers — in order to optimize performance while ensuring safety.
We spoke with Mike Kalantaridis, head of European Operations at DXC robotic (formerly Icon Dynamics), about how his company is helping change transportation by optimizing logistics and making deliveries safer — all through digital transformation..
A great example of the type of work DXC Robotic Drive Cloud can do.
BMW gathers critical operational, performance and reliability data from over 30 million kilometres (18.6 million miles) of BMW 3 Series models globally to drive intelligent, continuous improvement in its automated driver assistance systems (ADAS).
In fact, since 2013 all-new BMWs have come equipped with a SIM card enabling transmission of vehicle diagnostic information back to local and remote servers. This connectivity allows predictive maintenance and drives further intelligence and autonomy in BMW’s vehicles. Advanced simulation is used extensively throughout the R&D process during implementation and testing, as well as during production use.
This enables vehicle network diagnostics – important given there are no instruments within a vehicle or onboard instrumentation – that give engineers an early warning should ADAS fail to operate correctly.
