Proactive Vehicle Safety System for Collision Orientation
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Solution Overview
Problem
Current vehicle safety systems are passive and do not account for the prior state of the vehicle or the direction of impact, leading to variable passenger safety outcomes depending on the angle, force, and position of passengers during collisions.
Innovation Solution
A proactive vehicle safety system that uses autonomous driving capabilities, including sensors and machine learning models, to optimize vehicle path and passenger orientation before a collision, actively controlling passive safety mechanisms such as airbag deployment and vehicle positioning to minimize damage and injury.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If passive safety mechanisms with fixed parameters are used, then device complexity is reduced, but passenger safety varies depending on impact conditions
Solution Approach 1:
The system performs preliminary actions by predicting the collision trajectory and calculating optimal vehicle orientation before the collision occurs. The autonomous driving system determines the safest impact angle and positions the vehicle accordingly, rather than relying on fixed passive mechanisms. This allows the safety system to adapt to specific collision scenarios while maintaining manageable complexity through algorithmic control.
Solution Approach 2:
The patent transforms static, fixed-parameter safety systems into dynamic systems that can adjust vehicle orientation and positioning in real-time based on predicted collision parameters. The system continuously monitors sensor data and modifies the vehicle's state (position, orientation) dynamically to optimize safety outcomes for different impact scenarios.
2Reliability
If fixed location airbags with programmed inflation rates are used, then device complexity is minimized, but safety effectiveness varies with impact direction and force
Solution Approach 1:
The system calculates the optimal vehicle orientation and collision parameters in advance, before impact occurs. By predicting the collision trajectory and determining the safest orientation beforehand, the system can prepare the appropriate safety response tailored to the specific impact conditions, rather than relying on pre-programmed fixed responses.
Solution Approach 2:
The patent changes the parameters of vehicle orientation, position, and configuration based on the predicted collision parameters (angle, direction, force). The system adjusts these parameters dynamically to match the specific impact scenario, enabling adaptability without requiring complex variable-parameter safety mechanisms.
3Reliability
If the vehicle maintains current trajectory without proactive positioning, then control simplicity is maintained, but collision outcomes cannot be optimized
Solution Approach 1:
The autonomous driving system performs preliminary positioning and orientation adjustments before the collision occurs. By calculating the optimal trajectory and vehicle attitude in advance, the system can execute the safety maneuver with relatively simple real-time control, rather than requiring complex dynamic adjustments during the collision event itself.
Data Source
AI summary
In one embodiment, an autonomous vehicle (AV) system determines that a collision between itself and another object is imminent based on data obtained from sensors attached to the AV. The AV system determines an optimal vehicle orientation for the collision, determines a vehicle path to position the vehicle in the optimal vehicle orientation, and autonomously controls the vehicle to travel along the determined vehicle path.