solutions
ARI Solution Overview
Autonomous Mobility Perception
1) Embedding intelligence in sensor
2) AI learning model
• Transformer structure vs Graph Neural
Network
• Interpretable AI
3) Deep SLAM for Edge AI
• Object Avoidance
• Navigation
• 3D Mapping
webOS OSE-Autonomous Platform
In Vehicle Experience
• Differentiated UI/UX
• Easy Use & Operation
• Safety App ecosystems
Web centric App Framework
• Fast Prototyping
• Manageable App Ecosystem
• Full DevOps integration
Platform Reliability & Resilience
• Modules, Component, Framework
- Defect analysis ability
• Fail Safe
• Open-source vulnerability verification
Platform Key Features
• Multi-agent cooperation
• Distributed network-based swarm drones
that simultaneously control and operate
multiple drones
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AS-IS
Existing Air Mobility Software Development
Problems with single-application-centric development
- Silo-type development for each application domain, there is a lot of duplication effort for common functions.
- Cross-domain cooperation and integration are difficult, drone business is not growing and expanding
Monitoring & Inspection
Transportation & Delivery
Video & Photo
⋯
Security & Military
Application common module:
safety & security, updates, graphics, AI and systems
TO-BE
Platform-based development efficiency
Application
Framework
Framework
Autonomy
(ML/AI)
(ML/AI)
Safety &
Security
Security
SW Update
⋯
Network
Management
Management
Flight
Control
Control
- Securing platform-level security and safety
- Autonomous AI and data application, aimed at new UX development
solution
webOS OSE-autonomous Concept
webOS Autonomous platform integrates flight control modules to provide safe autonomous flight functions and services.
Platform to support common services such as security, performance,stability, monitoring, updates, etc.
