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Vehicle-to-Cloud-based ADAS the need of the hour

  • Cloud-based development of ADAS promises scalability, efficiency, security, and staying always up to date to guarantee that today’s systems will mitigate future accidents in the ever-changing road environment
  • Data-driven and Software-defined cars and Mobility Services could see accelerated deployment by 2025
  • The role of Cloud computing providers is increasing

Cloud-based ADAS
Vehicle-to-cloud ADAS development

4 benefits of Cloud-based platforms for ADAS development

By 2030, 67% of vehicles sold globally will have at least level 2 and 3 autonomous driving capability. One quarter will have level 4 and under 5% will have level 5 full automation capabilities.

Vehicle-to-Cloud-based ADAS the need of the hour 1
Microsoft Azure will enable VW’s cloud-based platform, Car.Software Organisation (Image credit: VW)

1. Up-to-date and robust models to mitigate future accidents after SOP

Cloud and OTA-based architecture can provide augmented robustness to traditional validation of ADAS and higher-quality ADAS models by identifying and rectifying failures after SOP with SW patches. Data generated from radars, cameras lidars, and other embedded smart devices can be processed using cloud platforms and the improvements can be used immediately.

2. Software for ADAS is becoming increasingly complex

Vehicle-to-Cloud-based ADAS can simplify the development of automated driving functions by managing accumulating data volumes such as traffic data from vehicles and simulation data.

3. ADAS must be developed in ever shorter cycles

ADAS Sensor data can be processed using cloud-based platforms to enhance the efficiency, safety and security of self-driving vehicles.

4. V2X will rely heavily on cloud-based computing

Vehicle-to-Cloud (V2C)-based ADAS can achieve safe and secure data exchange between OEMS, suppliers and others.

Leveraging a Digital twin for Vehicle-to-cloud (V2C)-based ADAS

Vehicle-to-Cloud-based ADAS the need of the hour 2

Proposed solutions from Academia

“By leveraging vehicle-to-cloud (V2C) communication, on-board devices can upload the data to the server through cellular network. The server creates a virtual world based on the received data, processes them with the proposed models, and sends them back to the connected vehicles. Drivers can benefit from this V2C based ADAS, even if all computations are conducted on the cloud. The cooperative ramp merging case study is conducted, and the field implementation results show the proposed digital twin framework can benefit the transportation systems regarding mobility and environmental sustainability with acceptable communication delays and packet losses.”

A Digital Twin Paradigm: Vehicle to Cloud based ADAS” (2020, Z.Wang, X. Liao et al.)

Carmakers are already starting to work with cloud computing providers for a variety of application segments—including software development platforms and SaaS. I believe this trend will continue and accelerate in the next decade.

  • Amazon Web Services holds a strong position in this domain counting Lyft, TuSimple, HERE, Toyota Research Institute, and nuTonomy among its clients. In Feb’21, Torc Robotics, Daimler Truck’s subsidiary, announced the selection of Amazon Web Services (AWS), Inc. as its preferred cloud provider to handle the scale and speed needed for data transfer, storage, and compute capacity as the company prepares to deploy its fleet of L4 test trucks in New Mexico and Virginia.
  • Microsoft Azure is also being used by carmakers such as VW (Feb’21), Ford, and Cruise (Jan’21) among others.
  • Other notable players include IBM, Google, Alibaba, Tencent, Dell, Harman, and HERE.

Read more

  1. Five New Revenue Pools for Automated Mobility
  2. Three Takeaways from Top Suppliers’ ADAS Revenues in 2020
  3. 21% of new cars to be highly-automated in 2025
  4. Top-12 technology partnerships in Connected & Automated Driving in 2020
  5. TOP-5 new changes in 2021 transforming Autonomous Driving

Read our reports to understand the strategies of major Suppliers in ADAS sensors, AD platforms as well as collaborations. Our reports also provide an in-depth analysis of how the regulatory framework affects the OEM strategy for Level 3 deployment.

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