Vehicle Control System for Autonomous Navigation in Disaster Scenarios
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Solution Overview
Problem
Vehicles face challenges in autonomously navigating through unknown road conditions, such as those encountered after a large-scale natural disaster, due to obstacles and blocked routes, which prevents them from using pre-generated travel plans based on map information.
Innovation Solution
A vehicle control system that includes a position information acquisition section, a travel route storage section, and a travel route creation section, which allows vehicles to store and create travel routes from manually or remotely operated driven states, enabling autonomous driving by reversing the outward journey route for return journeys, thus allowing reliable navigation through unknown conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicles use pre-generated travel plans based on map information for autonomous driving, then route efficiency is improved, but reliability deteriorates in disaster scenarios with unknown road conditions
Solution Approach 1:
The system performs preliminary actions by having vehicles (whether autonomously or manually driven) traverse routes before autonomous vehicles need to use them. During these preliminary traversals, the system acquires position information and stores the actual travel routes taken. This preliminary action creates a database of verified passable routes that autonomous vehicles can later follow, ensuring reliability in disaster scenarios while maintaining route efficiency.
2Reliability
If vehicles operate in manually driven state to navigate unknown road conditions, then reliability is improved, but productivity deteriorates due to trial and error
Solution Approach 1:
The system implements self-service by enabling autonomous vehicles to automatically acquire, store, and utilize travel route information without requiring continuous manual intervention. Vehicles independently build the route database through their own traversals (or those of other vehicles), and then independently use this stored information for autonomous navigation, eliminating the need for trial-and-error manual driving while maintaining reliability.
3Adaptability or versatility
If vehicles use trial and error manual driving to find passable routes, then adaptability is improved, but loss of time increases
Solution Approach 1:
The system uses copying by having autonomous vehicles replicate the travel routes previously taken by other vehicles (either manually or remotely operated). Instead of each autonomous vehicle independently performing trial-and-error navigation, they copy the verified route information stored in the system, achieving adaptability to unknown conditions while dramatically reducing the time lost to exploration and error.
Data Source
AI summary
A vehicle control system that acquires position information of a vehicle in a driving state of a manually driven state or a remotely operated driven state; that stores a pre-traveled travel route of a vehicle in the manually driven state or the remotely operated driven state based on the acquired position information; and that creates a travel route on which a vehicle is caused to travel in an autonomously driven state using the stored travel route.