Vehicle ECU Predictive Rating for Target Action Adjustment
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Solution Overview
Problem
Current vehicle systems lack the ability to effectively alter settings or maneuvers based on predicted actions of detected target vehicles, which can impact safety and performance.
Innovation Solution
A vehicle equipped with a sensor system and an electronic control unit (ECU) that detects target vehicles, identifies them, determines rating information, predicts their actions, and adjusts vehicle settings or maneuvers accordingly, utilizing modules for detection, identification, rating, prediction, and autonomy to implement changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle uses basic sensor detection without prediction capabilities, then the system complexity remains low, but the vehicle cannot proactively adjust settings based on target vehicle actions, reducing safety and performance
Solution Approach 1:
The system performs preliminary actions by detecting target vehicles and predicting their future actions before actual hazards occur. The ECU analyzes rating information and predicted actions of target vehicles to proactively adjust vehicle settings, preventing potential safety issues rather than merely reacting to them.
Solution Approach 2:
The patent introduces an intermediary prediction layer between sensor detection and vehicle control. The ECU acts as a mediator that receives sensor data, determines rating information about target vehicles, predicts their actions, and then translates these predictions into appropriate vehicle setting adjustments, bridging the gap between detection and action.
2Adaptability or versatility
If the vehicle implements comprehensive detection and prediction systems, then the vehicle can proactively adjust settings for improved safety, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary analysis by continuously monitoring and building rating information about target vehicles in advance. This pre-computed data allows the ECU to quickly make adaptation decisions when needed, reducing processing time during critical moments while maintaining comprehensive adaptability.
Solution Approach 2:
The patent changes parameters by using rating information as a simplified representation of complex target vehicle characteristics. Instead of processing all raw sensor data in real-time, the system transforms target vehicle data into rating parameters that can be quickly evaluated for prediction and decision-making.
Data Source
AI summary
A vehicle includes a sensor system outputting one or more signals and an electronic control unit communicatively coupled to the sensor system. The electronic control unit may be configured to detect a target vehicle external to the vehicle based on the one or more signals output by the sensor system, identify the detected target vehicle, determine rating information for at least one of the target vehicle and a driver of the target vehicle, predict at least one action of the target vehicle based on the rating information, and effect one or more changes to the vehicle based on the predicted at least one action of the target vehicle.