Vehicle Momentum Mitigation via Automated Collision Avoidance
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Solution Overview
Problem
Human drivers often fail to react effectively to sudden changes in speed or direction during accidents, leading to increased severity of injuries due to inadequate time to perform evasive actions or determine the best course of action.
Innovation Solution
An automatic collision avoidance and bodily injury mitigation system for vehicles that determines optimal actions to minimize the change of momentum experienced by occupants by processing real-time data on vehicle characteristics and scenarios, including acceleration or deceleration maneuvers, to reduce the acceleration (g-forces) experienced during collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human drivers perform evasive actions during accidents, then collision avoidance may be achieved, but reaction time is insufficient leading to inadequate mitigation of sudden speed or direction changes
Solution Approach 1:
The system performs preliminary actions by continuously monitoring the environment and preparing evasive maneuvers before a collision becomes imminent. The automated system pre-calculates potential collision scenarios and prepares appropriate responses, eliminating the need for last-second human reaction and enabling timely mitigation of momentum changes.
Solution Approach 2:
The patent replaces the human driver's mechanical reaction system with an automated electronic control system that processes sensor data and executes evasive actions. This substitution eliminates human reaction time limitations and enables faster, more precise control responses for collision avoidance and momentum change mitigation.
2Object-affected harmful factors
If automated actions are taken to minimize change of momentum, then acceleration forces on occupants are reduced, but the system complexity increases
Solution Approach 1:
The automated system integrates multiple functions into a single platform: environmental sensing, collision prediction, momentum calculation, evasive maneuver determination, and vehicle control execution. This multi-functionality reduces the need for separate specialized systems while comprehensively addressing momentum change mitigation through coordinated sensor-processing-control operations.
Solution Approach 2:
The system dynamically adjusts vehicle control parameters (acceleration, steering angle, braking force) based on real-time calculation of optimal momentum change mitigation strategies. By continuously modifying these parameters in response to changing collision scenarios, the system reduces acceleration forces on occupants while adapting to different mass, velocity, and environmental conditions.
Data Source
AI summary
Methods, systems, and computer program products are described herein for automatic collision avoidance and/or bodily injury mitigation. For example, a vehicle determines the optimal action(s) to take to avoid a collision or reduce the bodily injury of occupant(s) of the vehicle in the event that the vehicle determines that the collision is unavoidable. The vehicle performs action(s) that reduce the change of momentum experienced by occupant(s) thereof as a result of the collision. The actions are based on various characteristics of the vehicles that are to be involved in the collision. Such actions may comprise accelerating into and causing a collision with vehicle(s) in front of the vehicle at or around the same time at which a further vehicle rear-ends the vehicle. The system processes several scenarios in real-time (taking into changes of velocity of the vehicles involved) to determine the scenario that best mitigates the change of momentum.