According to a research report by Gartner, by 2020, 250 million cars will be connected with each other and the infrastructure around them. As the amount of information being fed through telematics systems grows, vehicles will be able to capture and share in real time not only location data but also the changes in their surroundings. Autonomous vehicles (AVs) are increasingly being provided with communication systems, lidars and cameras to gather massive amounts of data which, when computed with AI, enables the vehicles to make decisions just like, or even better than, human drivers do.
As the AI models become more and more advanced, the Bottos exchange platform may help make them even more openly available so that they may eventually improve exponentially.
Even if AVs are mostly a field of AI and Machine Learning, blockchain may have some important contributions to increase their safety. The technology powering AVs largely depends on big data which must be gathered, analyzed, and processed in a split second and with high precision.
In this regard, blockchain would bring up the concept of a transparent and decentralized ledger where data can be verified and stored securely, that would help driverless cars to verify the accuracy of the collected data, minimizing the room for error.
Also, a blockchain system may guarantee safety from hackers given the immutable nature of the technology. Even though it is theoretically possible to hack blockchain, the level of computing power to hack all computers on a blockchain is nearly impossible.
At the same time, with a blockchain powered AV, there would be no downtimes in network connectivity. In fact, in a centralized system like the one used by Didi, there is a likelihood of a system failure triggered by connectivity issues. That’s to say that there might be a high chance of accidents occurring during a network blackout.
The application of blockchain in the AVs will not only ensure safety from crashes but it also safeguards the safety of users personal data. In the traditional model, hackers can easily access users data such as their names, addresses and payment details and use it against them.
This is an aspect that should be taken in serious considerations since AVs will be not only advanced machines able to process tons of data, but they will be gradually gathering data on the users themselves, becoming an important source of personal data.
The Bottos ecosystem may ensure that all the data gathered is safely stored, accessed and shared, with also the possibility to turn that data in asset, thus creating a value for the users. Moreover, as users of AVs will slowly become just users and shift away from driving, Bottos may provide the infrastructure to develop DApps that would turn the AVs either in entertainment or work spaces, revolutionizing the way people move around.