A few days ago, Uber, the world's largest taxi sharing platform, was in trouble after a self-driving car hit a pedestrian in Tanjung Valley, Arizona. According to the British Guardian, the tire tracks revealed by the police showed that the laser detection and measurement and radar system of the SUV failed to detect the victim, although she could be seen through the car before being hit.
Uber's incident once again underscores what most of us think: how safe is automatic driverless driving compared to human driving?
Although there is no data to prove that autonomous driving is safer than human driving, the technology behind autonomous driving shows more secure performance. Autopilot technology includes high-precision cameras and sensors equipped with the latest in AI and machine learning.
But through Uber's accident, we can see that this kind of technology is not perfect, and there is still a lot to do before mass use. The accuracy of the sensor, reflecting speed and sustainability, and the need for cameras to improve, so that they can detect the target in milliseconds and respond accordingly.
Although this seems to be a function of AI and machine learning, the blockchain, the technology behind this cryptocurrency, will also have a significant impact on the safety of autonomous driving. Unmanned technology relies on big data, which must be collected, analyzed, and applied in seconds, and also requires very high accuracy.
Blockchain, on the other hand, tends to ensure data transparency and accuracy while preventing data from being manipulated. According to the MIT Technology Report, malicious cyber attacks are a big challenge for autonomous driving. While improvements in AI and machine learning techniques seem to solve the crash caused by technical problems, they may not be able to resolve hacking.
Imagine what happens if terrorists hack into some databases that drive cars on crowded streets or highways. The result must be very serious, especially when the vehicle is being modified by a centralized server.
The blockchain introduces a transparent decentralized ledger that makes data safe and serious. This technology can help driverless cars verify the correctness of data when absorbing information from the external environment, which means that the space for error is compressed to a minimum.
At the same time, due to the inherent nature of blockchain technology, the data storage in its system can be secured and not attacked by hackers. Although it is theoretically possible to black into the blockchain system, the computational power required is basically impossible. Similarly, autonomous vehicles with blockchain systems support will not be interrupted during the network connection. In a centralized system such as Uber, it is also possible to trigger a system failure due to network connectivity issues. This means that there is a high probability that an accident will occur when the network is interrupted.
The application of blockchain in driverless car technology not only avoids crashes, but also ensures safety and ensures the security of personal data. In the traditional mode, hackers can easily access user data, such as name, address, and payment details, and use this data to attack in turn.
In blockchain-based driverless taxis, all user information, including their names, and specific pick-up locations are stored in distributed and highly secure books, making it impossible for hackers to invade.
In addition to ensuring security, blockchain technology will also increase the way taxis are charged and track their accounts. Smart contract technology has the ability to ensure that the support process is smooth, primarily by ensuring that parties can guarantee the rights of some of the agreements they are in. If disputes arise, they can be properly addressed without the need to introduce third parties. Taxi drivers will also find it easy to track and securely store their account records.
With the development of driverless technology, there are still many things in the blockchain that can be tapped. Perhaps in the next few years, the perfect combination of AI, machine learning and blockchain technology will be born, making it perfect for driverless technology.
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