Vehicle Sensor Resolution Scanning for Target Identification
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Solution Overview
Problem
Current notification systems for locating a target vehicle are ineffective due to many drivers not seeing, ignoring, or failing to identify the target vehicle, leading to inefficient communication with authorities.
Innovation Solution
A vehicle system equipped with motors, local sensors, and processors that receive instructions about a target vehicle, verify them, and instruct sensors to scan at varying resolutions to identify compatible vehicles, with cameras and ultrasonic sensors capturing images and computing compatibility confidence to transmit relevant information to surrounding vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drivers manually read and identify target vehicles from amber alerts, then communication simplicity is maintained, but identification accuracy and response efficiency deteriorate
Solution Approach 1:
The patent replaces the manual mechanical process of reading amber alerts and visually identifying target vehicles with an automated sensor-based system. Local sensors (cameras, ultrasonic sensors) automatically scan surrounding vehicles and compare them against target vehicle properties, eliminating the need for drivers to manually interpret alerts and visually search for matching vehicles.
Solution Approach 2:
The system enables vehicles to autonomously perform the identification task without human intervention. Each connected vehicle independently scans its environment, processes sensor data, compares scanned vehicles with target properties, and autonomously determines compatibility, freeing drivers from the manual identification process.
2Measurement precision
If all scanned vehicles are analyzed at high resolution, then identification accuracy improves, but energy consumption and processing time increase
Solution Approach 1:
The patent segments the vehicle identification process into two distinct phases: initial scanning at lower resolution to quickly filter out incompatible vehicles, and detailed scanning at higher resolution only for vehicles that pass the initial filter. This segmentation allows the system to maintain high identification accuracy for promising candidates while minimizing energy consumption by avoiding high-resolution scanning of all vehicles.
Solution Approach 2:
The system applies partial action by performing high-resolution scanning only on a subset of vehicles that show potential compatibility during initial low-resolution scanning. Rather than exhaustively analyzing all vehicles at maximum detail, the system applies intensive processing only where necessary, optimizing the balance between accuracy and resource consumption.
3Use of energy by moving object
If multiple resolution levels are used for scanning, then energy efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements a dynamic scanning strategy where the sensor resolution is adaptively adjusted based on the scanning phase and target compatibility assessment. The system transitions between low-resolution and high-resolution modes depending on the current task requirements, optimizing energy usage while maintaining necessary detail for accurate identification when needed.
Solution Approach 2:
The system employs periodic scanning cycles that alternate between initial low-resolution scans and subsequent high-resolution scans of compatible vehicles. This periodic alternation between different resolution levels allows the system to efficiently screen multiple vehicles over time while maintaining the capability for detailed analysis when required.
Data Source
AI summary
A vehicle includes: motor(s), local sensors, processor(s) configured to: receive an instruction including first properties of a target vehicle; verify the instruction; instruct the local sensors to scan at a first resolution; mark a scanned external vehicle, having second properties, as compatible or incompatible based on a comparison of the first and second properties; instruct the local sensors to scan at a second resolution upon marking the external vehicle as compatible.