Google dominates design, testing for self-driving tech
Keywords:IHS neural network AI machine learning machine vision
"Google is in a unique position to leverage adjacent technologies for developing self-driving car software," Juliussen said, "And its strategy and goal is to provide the software and map infrastructure to allow mobility services to anyone, via fleets of driverless cars, within a decade or less."
As a result, the CaaS approach may see significant opportunity. Presently, these services require drivers. In the future, it is exceedingly likely that these and similar services may be able to operate with a driverless approach.
CaaS set to be major game changer
CaaS opportunities are becoming a new driving force for urban transportation. CaaS is essentially an extension of car-sharing, but via driverless vehicles. Google's strategy is to provide the technology infrastructure, maps and software to make CaaS happen sometime after 2020. IHS Automotive analysts believe Google is developing the software and maps that can be the basis for driverless vehicles in five years or so.
IHS estimated that the deployment of driverless CaaS will begin before 2025 and will have increasing impact as technology advances and driverless car volumes grow. In addition, autonomous driving and the associated costs will dramatically lower the cost of mobility services as a whole.
CaaS also will provide car mobility services for anyone, since no driver's license is needed and it will be an affordable transportation solution for a large portion of the global population. IHS Automotive estimates there are about 6.2 billion people globally without a driver's license, or nearly 85 per cent of the world's population. Driverless cars can also provide mobility services for packages and other goods requiring transportation.
IHS Automotive currently forecasts that nearly 12 million self-driving and driverless cars will be sold globally in 2035, which will reflect about 10 per cent of total global light vehicle sales. With continued increasing R&D activities in autonomous driving technologies, the current forecast could be too low.
Electric vehicles well-positioned for autonomous enablement for CaaS transportation
The driverless cars, and future mobility services based on them, will also provide a major opportunity for electric vehicles. Driverless car mobility services will mostly happen in urban areas and will primarily be short trips. These characteristics favour EVs as the powertrain for driverless cars; they can easily re-charge themselves using existing and growing public charging networks as needed between trips, which eliminates any range anxiety. IHS Automotive forecasts that global EV charging stations will grow from 650,000 in 2015 to more than seven million in 2021, excluding home charging outlets.
Mega-cities and other large urban areas in the future also will prefer the low emissions of EVs and as a result, should be keen to implement fleets of driverless EVs in their communities. Added benefits of EVs as part of CaaS may also lower congestion and help to resolve other traffic-related challenges.
IHS Automotive forecasts that the global production of battery EVs will grow from 273,000 in 2015 to 1.3 million in 2022. Global production of plug-in hybrid EVs is projected to grow from 179,000 in 2015 to over 2.4 million in 2022, according to IHS. Driverless car fleets for CaaS are likely to greatly increase the sales of EVs after 2025.
Related Articles | Editor's Choice |
Visit Asia Webinars to learn about the latest in technology and get practical design tips.