Inter-Vehicle Blind Spot Warning via Predictive Position Iteration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles often have blind spots due to C-pillars, which obstruct the view of adjacent lanes, necessitating a preemptive warning system to alert drivers when another vehicle is expected to occupy these blind spots, thereby improving safety.
Innovation Solution
A host vehicle equipped with sensors and processors that predict the future positions of nearby vehicles and determine if one vehicle will occupy another's blind spot, transmitting a warning message to the relevant vehicle when such an occupation is anticipated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a preemptive warning system is implemented to alert drivers about blind spot occupancies, then safety is improved, but device complexity increases due to sensors and processors required
Solution Approach 1:
The host vehicle's existing sensors and processors are utilized for multiple purposes: their primary functions plus the additional function of predicting future positions of nearby vehicles and determining blind spot occupancy. This multi-functional use of existing components improves safety without requiring entirely new hardware systems.
Solution Approach 2:
The system performs preliminary calculations by iterating future positions of vehicles before actual blind spot occupancy occurs. By predicting future states and transmitting warnings in advance, the system improves safety proactively rather than reactively, preventing collisions before they happen.
2Measurement precision
If future positions of vehicles are predicted by iterating based on current properties, then accuracy of blind spot prediction is improved, but loss of time increases due to computational iterations
Solution Approach 1:
The system iterates a series of future positions rather than calculating only the immediate next position. This partial iteration approach provides sufficiently accurate prediction for safety warnings without performing exhaustive calculations for every possible future state, balancing precision with computational efficiency.
Solution Approach 2:
The system rushes through the computation by directly iterating future positions based on current vehicle properties without intermediate detailed analysis. This allows rapid prediction of blind spot occupancy while maintaining adequate accuracy for safety warnings.
Data Source
AI summary
A host vehicle includes: motor(s), sensors, processor(s) configured to: (a) iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof; (b) associate a blindspot with an iterated future position of the second vehicle; (c) determine whether a future position of the first vehicle occupies the blindspot; (d) if so, transmit a message to the second vehicle including a message activation time.