Vehicle Occupant Ejection Prediction From Collision Sensor Data
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Solution Overview
Problem
Existing systems fail to identify and report vehicle collisions in real-time and assess vehicle ejection of occupants accurately, as drivers, passengers, or witnesses may be incapacitated or unwilling to report, and emergency responders may not know the extent of ejection until they arrive.
Innovation Solution
A system that integrates vehicle sensors to detect changes in momentum, damage to glass panes, and occupant posture to determine the probability of ejection, providing real-time data to emergency responders through visual notifications or databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers, passengers, or witnesses report vehicle collisions, then collision information can be obtained, but real-time identification and reporting fail when occupants are incapacitated or unwilling to report
Solution Approach 1:
The vehicle system performs self-detection of collisions using onboard sensors (accelerometers, impact sensors) without requiring human intervention. The system automatically identifies collision events, assesses ejection probabilities, and transmits data to emergency responders, eliminating dependency on incapacitated or unwilling occupants to report the incident
Solution Approach 2:
The system pre-configures sensors and processing algorithms to automatically detect collision parameters and assess ejection risks before emergency responders arrive. By performing preliminary assessment of occupant ejection probability based on collision severity and vehicle deformation data, the system prepares critical information in advance for immediate transmission to responders
2Measurement precision
If emergency responders arrive at the collision scene, then they can assess vehicle ejection, but the extent of ejection remains unknown until their arrival
Solution Approach 1:
The system performs preliminary assessment of occupant ejection probability using sensor data from the collision event. By analyzing change in momentum, glass pane damage, and occupant posture before responders arrive, the system pre-calculates ejection risk levels and transmits this assessed information to emergency personnel in advance, enabling them to prioritize search and rescue efforts accurately upon arrival
3Measurement precision
If multiple sensors are integrated to detect collision parameters, then ejection probability assessment improves, but system complexity increases
Solution Approach 1:
The system employs a multi-functional processing unit that handles diverse sensor inputs (accelerometers, impact sensors, image sensors, glass damage detectors) through a unified algorithmic framework. This universal processor assesses ejection probability by integrating multiple parameter types (change in momentum, glass pane damage, occupant posture) without requiring separate dedicated systems for each sensor type, thereby managing complexity while maintaining assessment accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables timely and accurate assessment of occupant ejection probabilities and locations, enhancing emergency response efficiency by providing critical information to responders before they arrive at the collision scene.
Implementation Method 1
receive information indicative of a change in momentum associated with the vehicle. The information indicative of the change in momentum is based on data captured by one or more sensors of the vehicle
Implementation Method 2
The information indicative of the posture is based on data captured by one or more image sensors coupled to the vehicle
Data Source
AI summary
A computer-implemented method is provided for predicting occupant location based on vehicular collision. The method includes receiving, at a computing system including one or more processors, information indicative of a vehicle crash involving a vehicle occupant. The method also includes receiving, at the computing system, information indicative of a position of the vehicle occupant within the vehicle prior to the vehicle crash. The method also includes determining, by the one or more processors, a probability of ejection of the vehicle occupant according to (i) the information indicative of the vehicle crash and (ii) the position of vehicle occupant. The method also includes providing, by the computing system, the probability of ejection of the vehicle occupant to one or more emergency responders.