Autonomous vehicles are on the rise to combat the country's motor vehicle fatalities. This article by Red Hat's Pete Brey takes a dive on how machine learning, artificial intelligence, and deep learning work together to achieve this goal. Houston, we have a problem. So does Los Angeles, Atlanta, New York, D.C, Boston, and all cities, towns, and counties throughout the United States. That problem is motor vehicle fatalities.
Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. Vehicles have become increasingly sophisticated under those plush seats and high-performance engines. Onboard technology has turned them into computers on wheels.
Artificial intelligence is learning to drive. Within the next 20 years it will take over from humans as the main entity behind the wheel. However, AI in the automotive industry is more than the technology merely passing its driving test. This piece explores not only the impact of AI on driving, but how it will fundamentally alter the way OEMs do business and the laws surrounding road use across the world. Manufacturers are sitting on a huge amount of information from cars already on the road, but are unable to harness it for sales purposes with insights buried amongst mountains of data.
The entire way people and goods travel from point A to point B is changing, driven by a series of converging technological and social trends: the rapid growth of carsharing and ridesharing; the increasing viability of electric and alternative powertrains; new, lightweight materials; and the growth of connected and, ultimately, autonomous vehicles. The result is the emergence of a new ecosystem of mobility that could offer faster, cheaper, cleaner, safer, more efficient, and more customized travel. While uncertainty abounds, in particular about the speed of the transition, a fundamental shift is driving a move away from personally owned, driver-driven vehicles and toward a future mobility system centered around (but not exclusively composed of) driverless vehicles and shared mobility. The shift will likely affect far more than automakers--industries from insurance and health care to energy and media should reconsider how they create value in this emerging environment. We believe a series of technological and social forces, including the emergence of connected, electric, and autonomous vehicles and shifting attitudes toward mobility, are likely to profoundly change the way people and goods move about.
This post was co-authored by the extended Microsoft Connected Vehicle Platform (MCVP) team. A connected vehicle solution must enable a fleet of potentially millions of vehicles, distributed around the world, to deliver intuitive experiences including infotainment, entertainment, productivity, driver safety, driver assistance. In addition to these services in the vehicle, a connected vehicle solution is critical for fleet solutions like ride and car sharing as well as phone apps that incorporate the context of the user and the journey. Imagine you are driving to your vacation destination and you start your conference call from home while you are packing. When you transition to the shared vehicle, the route planning takes into account the best route for connectivity and easy driving and adjusts the microphone sensitivity during the call in the back seat.