Mobilizing Development on the Fast Track
Introducing a High-Traffic Ecosystem
The Mobilian ecosystem is solely engineered for the autonomous vehicles industry. From an underlying secured network that supports AI-powered driverless cars to an open-source library for knowledge sharing, Mobilian instills decentralization and security within its ecosystem.
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Mobilian Security System
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Lian A.I.
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Moby Application
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Open-Source Library
Pushing Decentralization in the Automotive Industry
Mobilian network provides our clients a decentralized environment to store and access vehicle data in a secure way. As autonomous cars are highly-dependent on big data, Mobilian network’s scalability will be adequate to store all data that supports the AI controls.
By leveraging blockchain, we can ensure the accuracy of all gathered data including the simulations, camera footages, and unstructured big data that are acquired while the car is in motion.
Driving Away Network Hacking and Cyber Attacks
With digitalization, it has become easier for hackers to control vehicles. Mobilian is ready to protect autonomous vehicles from system hacking, information theft, and even DDoS attacks.
Fueling Efficiency Through Knowledge Sharing
As Mobilian believes in decentralization, we built an open-source research library where automakers and innovators can exchange studies about driverless car technology.
LIAN: The
Smart A.I Driver
LIAN is the name of the AI-powered driver for the Mobilian network. She will be the one to drive the car, navigate the city roads, and observe her surroundings to make sure her passengers are safely dropped to their target destination.
With the power of A.I. and neural networks, LIAN will be programmed to be as efficient as a human driver while providing more security. LIAN aims to have the ability to make good road judgment and decision making skills.
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360° Vehicle Sensors
Vehicle sensors will sense distancing with external elements, its integral for navigation.
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Voice Control
Passengers will be able to control the vehicle and ask questions to the AI-driver LIAN.
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In-built GPS
LIAN comes with an in-built GPS system that allows vehicles to be tracked on the network.
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AI-powered Camera
With the AI-powered camera, LIAN will be able interpret road signs and traffic lights.
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Automatic Security Check
Before hitting the road, LIAN will implement all standard safety procedures automatically.
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Auto-Engaged Road Assistance
In case of emergency, LIAN will notify the Mobilian network to report the incident in real time.
ROADMAP
Neural Network Memory
Neural Network Memory from the term itself shows its connection with the human brain’s neurons. In machine learning, neural network computing is designed to mimic how the brain works.
On this part of the data storage, all the programming for the driverless car, including its navigation, speech, and judgment will be its core. Simply, these are sets of rules the car follows to ensure safe and efficient driving. This part of the data storage can be integrated into several numbers of vehicles.
Machine Learning Memory
AI-Learning Memory is a repository of the vehicle’s continuous learning. This side will serve as a securely store all big data gathered by the car while on the road, such as vehicle simulations.
Data is essential for AI to improve its performance. The learning memory will keep all data gathered by the car, including the footage taken by its camera. These data will be essential for developers to upgrade their AI-driven vehicles.
Mobilian Whitepaper
The Mobilian whitepaper is the document that explains in a comprehensive and detailed way all the technology present in our platform, application, and library, as well as all the services we provide. To understand our project extensively, we invite you to download and read our whitepaper.
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