Vehicle Accident Notification System Using Sensor Data Extraction
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Solution Overview
Problem
Current emergency call systems in vehicles lack the capability to provide detailed and accurate information about accident participants and scenarios to emergency centers, which can hinder effective rescue operations and compromise road user safety.
Innovation Solution
A vehicle-based system that utilizes sensor data, including image data from exterior cameras, to recognize and categorize accident participants, and communicates this information anonymously to emergency call centers via vehicle-to-infrastructure and vehicle-to-vehicle communication, enabling more precise rescue planning and reducing data transmission while protecting privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed sensor data including image data is transmitted to the emergency call center, then the accuracy and efficiency of rescue operations is improved, but the amount of data transmitted and processing complexity increases
Solution Approach 1:
The control module extracts only the essential and relevant information from the comprehensive sensor data, such as accident type, number of occupants, vehicle position, and critical damage indicators. This extraction process filters out redundant data while retaining the most important information needed for emergency response, thereby improving accuracy without proportionally increasing data transmission volume.
Solution Approach 2:
The system performs preliminary analysis and classification of sensor data immediately upon acquisition, organizing the data into structured formats with predefined categories (e.g., accident type, occupancy status, vehicle condition) before transmission. This preliminary processing reduces the complexity of data handling at the emergency call center while maintaining high information quality.
2Loss of information
If comprehensive sensor data from multiple sources is collected, then the completeness of accident report is improved, but the time required for data processing and transmission increases
Solution Approach 1:
The control module continuously pre-processes and organizes sensor data from multiple sources (cameras, sensors, communication interfaces) into structured formats with predefined categories before an accident occurs. This preliminary organization enables rapid data retrieval and transmission immediately upon accident detection, ensuring both completeness and speed without requiring extensive post-accident processing.
Solution Approach 2:
The system merges data from multiple sensor sources (exterior cameras, interior cameras, occupancy sensors, communication interfaces) into a unified accident report structure. This consolidation integrates diverse data types into a coherent format that maintains information completeness while streamlining the overall processing workflow and reducing transmission time.
3Measurement precision
If image data from exterior cameras is used to recognize accident participants, then the precision of rescue planning is improved, but the privacy protection requirements and data security measures increase
Solution Approach 1:
The control module extracts only the essential identification features needed for rescue planning, such as accident type (rear-end, side-impact, pedestrian collision), number of vehicles involved, and general location context. Personal identifying information and detailed images that could compromise privacy are either excluded or heavily anonymized, retaining only the data necessary for effective rescue response.
Solution Approach 2:
The system applies privacy protection measures and data anonymization procedures immediately upon image data acquisition, before the data is transmitted or stored. This preliminary processing ensures that personal information is protected from the outset, allowing precise accident classification while minimizing privacy risks through immediate data sanitization.
Data Source
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AI summary
The invention relates to a device (10), a method, and a computer program for a vehicle (100) for providing an accident notification regarding an accident to an emergency call center. The device (10) comprises at least one sensor interface (12) which is designed to obtain sensor data from interior and exterior sensors of the vehicle (100). The device (10) additionally comprises at least one communication interface (14) which is designed to communicate with the emergency call center. The device additionally comprises a control module (16) which is designed to control the at least one sensor interface (12) and the communication interface (14). The control module (16) is further designed to determine information on occupants of the vehicle on the basis of the sensor data and to determine information on other traffic participants involved in the accident on the basis of the sensor data. The information on the other traffic participants involved in the accident is divided into a plurality of categories, comprising at least the categories of pedestrians, two-wheeled vehicles, and automobiles. The control module (16) is additionally designed to provide information on the accident notification via the communication interface (14) on the basis of the information on the occupants of the vehicle and on the basis of the information on the other traffic participants involved in the accident on the basis of the sensor data.