Runaway Vehicle Detection Using Sensor and Map-Based Safe Routing
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Solution Overview
Problem
Current systems lack effective solutions for detecting and mitigating runaway vehicle events in autonomous driving, particularly in identifying safe locations for vehicles that have lost control, posing risks to themselves and other road users.
Innovation Solution
A computer-implemented method and apparatus that processes sensor and map data to detect runaway vehicle events, determines safe locations based on vehicle attributes, and generates alerts for display on associated devices, while also mapping these events to digital maps to guide vehicles to safe areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If runaway vehicle detection and mitigation systems are implemented, then vehicle safety and risk reduction are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the runaway vehicle mitigation problem into distinct functional modules: sensor data acquisition, runaway vehicle detection algorithms, safe location determination, alert message generation, and digital map mapping. Each module processes specific aspects of the problem independently, reducing overall system complexity while maintaining comprehensive safety functionality.
Solution Approach 2:
The system performs preliminary actions by pre-processing sensor data to detect runaway vehicle conditions before they escalate into full accidents. It also pre-determines safe locations and prepares alert messages in advance, enabling rapid response when runaway events are detected, thereby improving safety without requiring complex real-time decision-making under pressure.
2Measurement precision
If real-time sensor data processing is performed to detect runaway vehicle events, then detection accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The system applies partial action by focusing computational resources on processing only those sensor data elements that are most indicative of runaway vehicle conditions. Rather than analyzing every sensor reading in equal detail, the system prioritizes critical parameters such as abnormal acceleration patterns, brake status anomalies, and speed deviations, achieving high detection accuracy with reduced processing time.
3Measurement precision
If safe locations are determined based on multiple vehicle attributes, then location accuracy and suitability are improved, but computational complexity increases
Solution Approach 1:
The system applies local quality by determining safe locations based on the specific attributes of each detected runaway vehicle. Rather than using a universal approach for all vehicles, the system tailors the safe location determination to individual vehicle characteristics such as type, size, weight, and current trajectory, ensuring high location accuracy while managing computational complexity through attribute-specific processing.
4Speed
If alert messages are generated and displayed on associated devices, then information delivery speed is improved, but communication overhead and system resources increase
Solution Approach 1:
The system extracts and transmits only the essential information needed for runaway vehicle mitigation through alert messages. Rather than communicating all sensor data and processing results, the system extracts critical information such as runaway vehicle detection status, determined safe locations, and navigation guidance, delivering this condensed information quickly to associated devices while minimizing communication overhead and energy consumption.
Data Source
AI summary
An approach is provided for a runaway vehicle detection system. The approach, for example, involves processing sensor data to detect that a vehicle is involved in or predicted to be involved in a runaway vehicle event. The approach also involves processing map data, the sensor data, or a combination thereof to determine a runaway vehicle safety location based on at least one attribute of the vehicle. The approach further involves generating an alert message indicating the runaway vehicle safety location. The approach further involves providing the alert message for display on a device associated with the vehicle. In one embodiment, the approach further involves mapping the runaway vehicle safety location, the runaway vehicle event, or a combination thereof to digital map of a geographic database.