In-Vehicle Computer UAV Deployment Safety Control
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Solution Overview
Problem
The integration of unmanned aerial vehicles (UAVs) with automotive vehicles poses safety concerns and regulatory challenges, as existing systems lack the capability to determine whether it is safe to deploy UAVs, considering user authentication, vehicle state, environmental conditions, and regulatory compliance.
Innovation Solution
An in-vehicle computer system that integrates with the vehicle's computer network to assess safety and regulatory conditions before allowing UAV deployment, using data from sensors, a roof/garage control module, and cloud servers for weather and airspace restrictions, ensuring safe and compliant operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If UAV deployment is allowed without safety assessment, then ease of operation is improved, but safety and reliability deteriorate
Solution Approach 1:
The system performs preliminary safety assessments before allowing UAV deployment. The in-vehicle computer checks multiple conditions including vehicle state, environmental factors, regulatory compliance, and user authentication before permitting deployment, ensuring safety is established in advance rather than reacting to hazards after deployment occurs.
2Reliability
If comprehensive safety checks are performed before UAV deployment, then reliability is improved, but device complexity increases
Solution Approach 1:
The in-vehicle computer is designed to perform multiple functions: it serves as the primary control system for the vehicle, manages UAV deployment operations, conducts safety assessments, checks regulatory compliance, and interfaces with various sensors and communication systems. By making the in-vehicle computer a universal platform that handles both vehicle operations and UAV management, the system avoids adding separate dedicated hardware for each function, thereby limiting the increase in overall system complexity.
3Reliability
If real-time monitoring of deployment conditions is implemented, then reliability is improved, but use of energy increases
Solution Approach 1:
The system implements periodic monitoring of deployment conditions rather than continuous monitoring. The in-vehicle computer checks safety conditions at defined intervals and at critical transition points (before deployment, during deployment phases, and at designated checkpoints). This periodic approach maintains operational safety by detecting changes in vehicle state, environmental conditions, and regulatory status without requiring constant energy-intensive monitoring of all parameters.
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for drone vehicle integration and controls. A vehicle device for controlling an unmanned aerial vehicle (UAV) may receive an input indicating a request to deploy the UAV from a vehicle. The vehicle device may determine that one or more deployment conditions are satisfied. The vehicle device may cause deployment of the UAV. The vehicle device may determine a control command for the UAV and a vehicle instruction associated with operating the UAV. The vehicle device may determine that the vehicle instruction has been satisfied, and may send the control command once the vehicle instruction is satisfied.


