Near-Field Collision Detection for Pre-Impact Vehicle Countermeasures
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Solution Overview
Problem
Existing safety technologies in vehicles are insufficient to protect occupants from serious injury and death during unavoidable collisions, as they typically react only after impact, wasting precious milliseconds that could be used for proactive countermeasures.
Innovation Solution
A system combining high-speed near-field sensors with advanced real-time parallel processing to predict imminent collisions and deploy countermeasures such as airbags or suspension adjustments up to 250 milliseconds before impact, using a sensor suite and Edge Cross Correlation Engine (ECCE) for accurate threat assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If existing safety technologies are used, then vehicle safety is maintained at current levels, but response time is insufficient as systems react only after impact
Solution Approach 1:
The system performs preliminary collision detection and prediction before impact occurs. Sensors continuously monitor the environment and predict potential collision scenarios, allowing the system to activate countermeasures in advance rather than reacting after impact. This preliminary action enables airbag deployment, seatbelt pre-tensioning, and other protective measures to be ready before the collision actually occurs.
Solution Approach 2:
The patent replaces traditional mechanical collision detection systems with advanced sensor arrays and computational prediction algorithms. Instead of relying solely on mechanical impact sensors that trigger after collision, the system uses optical, electromagnetic, and other non-contact sensors combined with real-time processing to predict collisions before they occur, substituting mechanical reaction with intelligent prediction.
2Measurement precision
If high sample rate near-field sensors with advanced real-time parallel processing are implemented, then collision prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides the collision detection and prediction function into multiple independent sensor modules and processing units. Each sensor type (optical, electromagnetic, ultrasonic, etc.) operates independently to detect specific parameters, and separate processing units analyze different aspects of collision risk. This segmentation allows high precision through multiple specialized sensors while managing complexity through modular architecture.
Solution Approach 2:
The sensor array and processing system are designed to perform multiple functions: detecting various types of objects, measuring different physical parameters (distance, velocity, acceleration), predicting collision trajectories, and triggering multiple types of countermeasures. This multi-functionality consolidates what could be separate systems into a unified platform, improving prediction accuracy without proportionally increasing overall system complexity.
Data Source
AI summary
A vehicle safety system performs close-in incipient collision detection that combines high sample rate near-field sensors with advanced real-time processing to accurately determine imminent threats and the likelihood of a collision before a collision occurs. This allows applicable countermeasures to be deployed based upon the probability of a collision, while also taking into account the type of threat and the impending impact's location on the vehicle. This radically new approach will soon transform the passive safety market to greatly reduce injuries from automotive crashes and save lives.