Target Height Characterization Using Variable Range Bins
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Solution Overview
Problem
Existing vehicle detection systems require a large amount of input data to accurately characterize targets, leading to delayed decision-making and increased processing power needs, which can be costly and inefficient.
Innovation Solution
A detection system that characterizes targets using a limited amount of data by selectively processing return signals through a method involving signal transmission, bin generation, and analysis, including a two-ray ground-reflection model for height estimation, and prioritizes tracks based on potential collision risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large amount of input data is collected to characterize targets, then target characterization accuracy is improved, but the time required for accurate characterization increases
Solution Approach 1:
The system pre-establishes bin structures and range segmentations before data collection begins. By organizing the detection space into predefined bins and range segments in advance, the system eliminates the need for complex real-time data organization, enabling rapid target characterization as soon as sufficient return signals are received without compromising accuracy
Solution Approach 2:
The detection range is divided into multiple segments with gradually increasing sizes, and return signals are sorted into corresponding bins based on their range values. This segmentation allows the system to process data in organized units rather than as a continuous stream, enabling efficient accumulation of sufficient data for accurate characterization while minimizing processing delays
2Reliability
If all collected data is continually processed, then target characterization completeness is improved, but processing power requirements increase
Solution Approach 1:
The system processes data selectively rather than continuously analyzing all collected information. By using a threshold-based approach where characterization occurs when sufficient return signals are received for a given target, the system achieves complete and reliable target characterization while avoiding the unnecessary processing power consumption that would result from continuously analyzing all data streams
Solution Approach 2:
The system extracts and processes only the relevant return signals that contribute to target characterization, rather than processing all collected data uniformly. By identifying and focusing on signals within specific range segments and bins that are pertinent to each target, the system maintains characterization completeness while significantly reducing overall processing power requirements
3Loss of time
If the detection system processes data faster, then decision-making time is reduced, but the system complexity increases
Solution Approach 1:
The range is divided into multiple segments with gradually increasing sizes, and return signals are organized into bins corresponding to these segments. This segmentation transforms the complex task of processing continuous radar data into a series of simpler, discrete operations where signals are sorted and accumulated in predefined bins, enabling faster processing without requiring complex real-time algorithms
Solution Approach 2:
The bin structures and range segmentations are established before detection begins. This preliminary organization of the detection framework allows the system to rapidly sort and process return signals during operation by simply assigning them to pre-defined bins based on range values, significantly reducing decision-making time while maintaining manageable system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate target characterization with reduced data processing needs, allowing for timely decision-making and efficient resource allocation in vehicle detection systems.
Implementation Method 1
a plurality of signals are transmitted into the environment such that the signals reflect off the targets in the environment to create a plurality of return signals
Implementation Method 2
an accurate height estimation equation based on the two-ray ground-reflection model
Data Source
AI summary
A system and method characterizes the height of targets in an environment around a vehicle. Signals are transmitted into the environment and return signals are received to determine a track corresponding to a target. For each track, bins are generated, each bin corresponding to a segment of the range, the segments having a gradually increasing size between the minimum range and maximum range. Range and magnitude values of the received return signals are determined for a selected track. A plurality of filled bins are determined, filled bins indicating that a return signal within the selected track has a range value falling within the segment corresponding to said bin. When the number of filled bins exceeds a set threshold, the return signals having range values within the segments corresponding to the filled bins are analyzed to characterize a height of the target.