Self-Driving Vehicles (SDVs) Geo-Information

By | April 6, 2021

Transportation systems globally are on the verge of a major transformation. An innovation that is expected to disrupt the entire automobile industry, the driverless revolution has just begun. With the onset of sophisticated technological advances which combine artificial intelligence and robotics capabilities, interest in ‘Autonomous vehicles’, ‘Selfdriving vehicles’ or ‘driverless’ cars has been surging. Critical to the growth of the ‘Self-driving vehicles’ industry is the geospatial industry. Equipped with satellite navigation, sensor compliments and other positioning technologies, autonomous vehicles along with geospatial industry brings in a paradigm shift in the driving experience while improving safety and efficiency simultaneously.

The data information required by self-driving vehicles needs to be rich, diverse, and accurate especially concerning spatial precision and frequency of updates than what is currently in use for day-today navigation. Geospatial content providers, therefore, will have a crucial role to play to drive an entirely new business model as compared to the conventional ones. These cars will not only ‘need’ geospatial content to build a thriving eco-system but will also ‘provide’ content for further use.

There is an extreme reliance of the autonomous vehicles on geospatial content. Understanding that maps are going to be of fundamental nature when it comes to autonomous vehicles, the density of information needed for driverless cars is going to be much higher and harder to collect. A whole array of sophisticated content providing geospatial technologies will exist simultaneously for the successful navigation of self–driving vehicles.

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