Artificial intelligence (AI), data sharing, and deep learning are transforming mobility as we know it is helping make autonomous vehicles a reality.
Organisations on the cutting edge are racing to innovate in order to become the mainstream autonomous vehicle industry leader. Recent graduates that have been deeply immersed in the latest discoveries in math, science, and engineering operate in stealth mode every day to create new technology.
Artificial Intelligence and Autonomous Vehicles – 3 Considerations
Safety
AI and machine learning are combining to generate images and video so realistic that it’s nearly impossible to differentiate between reality and fiction.
Software companies are leveraging such images to create algorithms for purposes of autonomous vehicle safety testing. The deep fakes expose a vehicle to thousands of scenarios by reproducing elements like adverse road or weather conditions.
Data Collection
Autonomous vehicles now come equipped with multiple sensors, cameras, radar, and LiDAR that enable them to better understand the landscape for purposes of path mapping. Such sensory systems generate massive quantities of data. To make sense of it all, the industry is developing vehicles that rely heavily on AI to efficiently process data and use it to “teach” the autonomous system as mentioned above.
Data Sharing
Thanks to high-quality sensors embedded in autonomous vehicles, these vehicles now serve as a rich source of data. This information as general as local weather and as specific as road conditions and changes in lighting depending on the time of day can now be shared to improve the design of path mapping and processing in future models.
The industry will benefit significantly by tapping into this large pool of shared information, especially when it comes to safety. Sharing information means that more companies will be able to validate their proprietary software using a more representative dataset. This is a win-win.
Looking Forward
From improving safety and service to driving down manufacturing costs, AI and data sharing are turning the automotive industry upside down. And this is just the beginning.
