Autonomous Vehicle Security System for Hazard Detection
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Solution Overview
Problem
Shared vehicles often do not return to service stations for inspection after use, leading to lost items and potential risks from unattended dangerous objects, as users may leave items or hazardous materials inside, which can be missed before another user accesses the vehicle.
Innovation Solution
A vehicle system equipped with sensors and a computing device that detects unoccupied vehicles and identifies unexpected objects, classifies their risk, and navigates to a safe location for inspection or containment, using data fusion from cameras, microphones, thermal sensors, and GPS to ensure safety and retrieval of lost items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle does not return to a service station for inspection after each use, then operational efficiency and convenience are improved, but lost items and dangerous objects may be left in the vehicle undetected
Solution Approach 1:
The system performs preliminary detection of objects in the vehicle interior before the vehicle is returned to service or made available for the next user. Sensors continuously monitor the vehicle interior to identify and classify objects left by previous users, enabling proactive identification of lost items or dangerous objects before they become a safety risk.
Solution Approach 2:
The system implements feedback loops where sensor data from cameras, microphones, and thermal sensors is continuously analyzed by machine learning models. The system provides feedback about detected objects to the vehicle owner or service center, enabling remote monitoring and decision-making about vehicle safety without requiring physical inspection at service stations.
2Reliability
If multiple types of sensors are deployed to detect and classify objects, then detection accuracy and safety are improved, but device complexity and cost increase
Solution Approach 1:
The system merges multiple sensor types (cameras, microphones, thermal sensors) into a unified detection system that processes data from all sensors simultaneously. Machine learning models fuse the data streams to identify and classify objects, achieving high detection accuracy while managing system complexity through integrated processing rather than separate analysis systems.
Solution Approach 2:
The sensor system is designed to perform multiple functions: detecting objects, classifying them as safe or dangerous, determining their location, and triggering appropriate responses. This multi-functionality reduces the need for separate specialized systems and simplifies the overall architecture while maintaining high reliability across different detection scenarios.
Data Source
AI summary
A determination is made that a vehicle is unoccupied. Detecting of at least one of an unexpected object in the vehicle and an intrusion into a vehicle compartment is performed. A route to a location is selected according to detected object and/or intrusion. The vehicle is navigated to the location.