Vehicle Autonomous Operation Detection for Unauthorized Driving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack an effective method to detect autonomous vehicle operation and prevent unauthorized or unmonitored autonomous driving.
Innovation Solution
A computer system on board the vehicle receives operation data from various components and uses a machine-learning classifier to determine if the vehicle is being operated autonomously, without relying on output from the autonomous-operation module. Upon detection, the system can actuate secondary components, such as inhibiting input streams or alerting the operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous operation module is installed to enable autonomous driving, then vehicle automation capability is improved, but security risk increases due to unauthorized or unmonitored autonomous operation
Solution Approach 1:
The system continuously monitors vehicle operation data and feeds it back to the detection model, which determines whether autonomous operation is occurring and provides feedback signals to either alert the operator or inhibit the autonomous operation module, creating a closed-loop security mechanism
Solution Approach 2:
A computer-implemented detection model acts as an intermediary between the autonomous operation module and the vehicle systems, analyzing operation data and determining whether autonomous operation is occurring without directly controlling the vehicle, thereby providing security oversight
2Reliability
If detection system monitors operation data to identify autonomous operation, then security monitoring is improved, but computational resources and processing time increase
Solution Approach 1:
The system processes only the necessary operation data required for detection purposes rather than all available vehicle data, and only activates full detection processing when autonomous operation is suspected or conditions warrant monitoring, reducing overall computational burden
Solution Approach 2:
The detection model uses existing operation data that is already being collected by the vehicle's normal operational systems, repurposing this data for security detection without requiring separate dedicated sensors or data collection infrastructure
Data Source
AI summary
A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive operation data generated by first components of a vehicle; determine that the vehicle is being operated autonomously by an on-board autonomous-operation module based on the operation data without using output from the on-board autonomous-operation module; and upon determining that the vehicle is being operated autonomously, actuate a second component of the vehicle.