Can Machines Teach Machines to Drive Safely?

In IoT for All, Igor Ilunin, Head of the IoT Practice at DataArt, evaluates current progress and future outlook for fully-autonomous vehicles, exploring the challenges that need to be overcome.

“Although once considered a high-tech feature, internet connectivity in vehicles is quickly becoming commonplace. While just 35% of cars were connected to the internet in 2015, Statista predicts that this number will reach a remarkable 98% by 2020 and 100% by the year 2025.

It’s important to remember that any object connected to the internet becomes vulnerable to exploitation by hackers. And vehicles are certainly not an exception to this rule, as was illustrated when security researchers remotely gained control over a Jeep Cherokee, leading to a massive recall and a renewed alert to the importance of ensuring effective security protection in connected vehicles.

Machine-to-machine (M2M) technology is one of the key ingredients to the future of global transportation. Automotive companies are increasingly partnering with telecommunication carriers to improve efficiency and safety on our roads. By utilizing wireless communication to enable vehicles to interact with each other and with the infrastructure around them, drivers can be notified about dangerous road conditions, collisions, and hazardous curves via a range of automated systems.

It’s expected that connected vehicles will greatly decrease accidents, with a study by the NHTSA stating that 80% of crash scenarios that involve non-impaired drivers could be avoided through the usage of this technology.

Sophisticated driver-assistance features are already present in some vehicles, providing the option of automated lane changing and parking, adaptive cruise control, and other advanced tasks without the need for human intervention.”

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