Autonomous Vehicle Destination Verification via Visual Matching
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Solution Overview
Problem
Autonomous vehicles, such as drones, are vulnerable to unauthorized access and rerouting, leading to theft and increased costs for replacement items and customer support, as they lack effective security measures to verify their final destination.
Innovation Solution
The system determines visual features of a captured image from an image sensor and matches them with reference data to verify if the current location is the final destination, using machine learning techniques and a control server to redirect the vehicle if necessary, and employs a verification code for additional security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drone delivery is implemented to enable direct delivery from warehouse to customer location, then delivery speed and efficiency are improved, but vulnerability to unauthorized access and rerouting attacks increases
Solution Approach 1:
The system continuously captures images of the current location and compares them with reference images of the destination. This feedback mechanism allows the drone to verify it is on the correct delivery path and has reached the intended destination, preventing unauthorized rerouting while maintaining efficient direct delivery routes.
Solution Approach 2:
Reference images of the destination location are captured and stored before the drone delivery begins. This preliminary preparation enables the drone to have a predetermined visual target for verification, allowing it to autonomously verify the destination without real-time human intervention while maintaining security.
2Reliability
If visual verification system is added to verify final destination using image capture and matching, then delivery security and accuracy are improved, but device complexity increases
Solution Approach 1:
The drone utilizes its existing camera system, which is already part of its navigation and obstacle avoidance equipment, for the additional function of destination verification. By making the image sensor multi-functional, the system achieves enhanced security without adding dedicated hardware components, thus minimizing increased device complexity.
Data Source
AI summary
A system and method for securing delivery of an autonomous vehicle. The method includes determining visual features of a captured image of a current location of the autonomous vehicle, the captured image generated by an image sensor communicatively coupled with the autonomous vehicle; retrieving location coordinates of the current location of the autonomous vehicle from a positioning sensor communicatively coupled with the autonomous vehicle; matching the visual features of the captured image to reference data associated with the location coordinates; and determining if the current location is the final destination. In some embodiments, the method further includes matching a verification code present within the captured image to a reference verification code, where the verification code is a two-dimensional visual code previously associated with the final destination.