AI Vehicle Control Authorization for Dense Parking Navigation
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating dense parking lots where multiple vehicles are stationary, as they often struggle to move unless other vehicles are maneuvered to create a path, and existing systems lack efficient methods for managing control authorization among vehicles to ensure safe movement.
Innovation Solution
An AI device installed in vehicles senses movable areas and processes requests for control authorization, allowing external vehicles to move to target positions by serially requesting control from surrounding stationary vehicles, ensuring a clear path through strategic assignment of control authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles are deployed in dense parking lots, then vehicle autonomy capability is improved, but navigation capability deteriorates due to blocked paths and stationary vehicles
Solution Approach 1:
The patent introduces a control authorization mechanism as an intermediary system that enables autonomous vehicles to request and obtain temporary control rights from other vehicles. This mediator framework allows vehicles to coordinate movements without direct physical interaction, resolving the navigation difficulty in dense environments while maintaining autonomy.
Solution Approach 2:
The system dynamically adjusts control authorization based on real-time spatial relationships and movement requirements. Vehicles can transition from stationary to controlled states dynamically, allowing the navigation capability to adapt to changing environmental conditions while preserving autonomous operation modes.
2Area of moving object
If control authorization is requested from multiple external vehicles, then moving space for external vehicle is improved, but system complexity increases due to serial authorization requests
Solution Approach 1:
The control authorization process is segmented into discrete request-response units that can be independently managed. Each authorization request targets a specific vehicle and spatial requirement, breaking down the complex multi-vehicle coordination into manageable segments that reduce overall system complexity while ensuring adequate moving space.
3Reliability
If control authorization is assigned to external vehicle, then collision prevention is improved, but control authority of original vehicle is reduced
Solution Approach 1:
Control authorization is granted preliminarily and temporarily only for the duration and spatial scope necessary to prevent collision. The original vehicle retains ultimate control authority and can revoke authorization when no longer needed, balancing safety requirements with operational control.
Solution Approach 2:
The system changes control parameters dynamically by adjusting the scope, duration, and conditions of authorization based on real-time collision risk assessment. This allows collision prevention while minimizing impact on original control authority through parameterized control transfer.
Data Source
AI summary
An artificial intelligence (AI) device installed in a first vehicle includes a sensing unit configured to sense an area in which the first vehicle is moveable at a current position, and a processor configured to receive a request for assignment of control authorization for allowing a first external vehicle to control the first vehicle from the first external vehicle, based on information sensed by the sensing unit, or to make a request to the second external vehicle for assignment of control authorization for allowing the AI device to control a second external vehicle.