Vehicle Ice Strike Prediction System
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Solution Overview
Problem
Ice buildup on vehicles can detach and strike other vehicles, causing damage due to environmental conditions like snow and freezing rain, which existing technologies have not effectively addressed.
Innovation Solution
A computer system in vehicles uses sensor data and environmental data to identify the risk of ice strikes, allowing for actions such as changing driving lanes, transmitting messages to other vehicles, and closing protective covers for sensors to mitigate the risk, by determining the trajectory and likelihood of ice detachment and strike.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ice buildup detection and prediction systems are implemented, then vehicle safety is improved, but device complexity increases
Solution Approach 1:
The system segments the ice strike risk assessment into multiple independent components: environmental condition monitoring, ice buildup detection on own vehicle, other vehicle identification, ice detachment prediction, and protective action execution. Each component processes specific data independently, allowing the system to maintain high reliability through modular fault isolation while managing complexity through structured decomposition of the overall safety function.
2Reliability
If proactive protective actions are taken based on ice strike prediction, then damage prevention is improved, but loss of time occurs due to lane changes and message transmission
Solution Approach 1:
The system performs preliminary protective actions by detecting ice buildup and predicting potential ice detachment before actual ice strikes occur. The system identifies other vehicles in proximity, assesses ice strike risk, and executes protective maneuvers such as lane changes or transmitting warning messages in advance, thereby preventing damage while managing time loss through early intervention rather than reactive response.
3Measurement precision
If ice strike risk assessment is performed using sensor data and environmental data, then measurement precision is improved, but use of energy increases due to continuous data processing
Solution Approach 1:
The system applies partial action by selectively processing sensor data and environmental data based on detected conditions. Rather than continuously analyzing all available data at full precision, the system activates comprehensive ice strike risk assessment only when ice buildup is detected or environmental conditions indicate potential ice formation, thereby maintaining measurement precision when needed while reducing energy consumption during normal operation.
Data Source
AI summary
A computer includes a processor that is programmed to identify, in a first vehicle, a second vehicle based on first vehicle sensor data. The processor is programmed to determine, based on at least one of the sensor data and additional environmental data, a risk of ice from the second vehicle striking the first vehicle. The processor is further programmed to cause an action in the first vehicle based on the determined risk.