ith virtually every car manufacturer on the planet heavily investing in the development or research of self-driving or assistive driving technology, driverless cars are virtually guaranteed to play a huge role in the future of transportation. Despite growing mistrust of the technology and an inability of self-driving cars to reliably function in rain or winter conditions, many states are already legalizing driverless car usage and investing heavily in the required infrastructure. But the technology that is being developed to power these cars will inherently open them up to some quite significant violations of personal privacy, and not just for passengers but also other drivers and even pedestrians.In order for a self-driving car to properly function it needs to be able to generate a highly accurate 3D model of the car’s surroundings and real time traffic conditions. The technology required to do this is virtually incapable of doing so without meticulously identifying everything from local topography to other cars near it. It will even even need to be able to identify pedestrians that could potentially cross the car’s path. The obvious question is, then, how deep will this spacial awareness go, and what happens to the data that the car collects?LiDar.The primary technology that most self-driving cars are employing is a powerful remote sensing system called LiDar, which measures distance by firing lasers at its surroundings. The data is then analyzed and used to construct real time 3D models of the surrounding area of the self-driving car. However, the ability for LiDar to generate accurate 3D data is limited in any condition that will affect visibility, including rain, snow or fog. Many self-driving car manufacturers are looking to support their LiDar systems with ancillary technology that will fill in any holes created by these limitations. These include highly detailed 3D maps generated of local topography by satellites and localized 3D scanning as well as the ability to communicate with, and read any geolocational data from, other nearby vehicles.“The availability and resolution of imaging from satellites, drones, self-driving cars and more will continue to increase exponentially. This will drive the creation of ever more sophisticated analysis algorithms, products and companies,” Sedicii Innovation CEO Rob Leslie told InfoWars.Who will have access to all of this data?Leslie is the founder of privacy and identity verification software developer Sedicii and was also contributing to the agenda at the 2016 World Economic Annual Forum that was held in Davos-Klosters, Switzerland January 20th to the 23rd. The Zero Knowledge Proof Protocol was developed and patented by Sedicii to eliminate any extraneous transmission, storage or exposure of private user data during online transaction authentication or identity verification. Not only can this information often legally be sold to advertising and data collection firms, but if intercepted it can often lead to identity theft, impersonation or fraud. The software exists to allow users to consume digital services without being forced to share or expose any private data. But with self-driving cars, that data may legally be required to be shared, which could lead to massive privacy violations that would be very difficult to prevent.