Radar Object State Identification During Vehicle Turns
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Solution Overview
Problem
Current advanced driver assistance systems (ADAS) face challenges in accurately identifying the stationary or moving state of objects in complex driving scenarios, such as urban areas with turns and intersections, due to limited computation time and memory capacity, especially when the host vehicle is maneuvering.
Innovation Solution
A method and device that utilize motion information from dynamics sensors and range rate information from radar sensors to calculate a predicted range rate for detected objects, determining their state as stationary or moving by comparing predicted and measured range rates, thereby reducing computation time and memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional simplified identification methods are used in high-straightness environments, then computation time and memory capacity are reduced, but identification accuracy deteriorates in complex situations such as turns and intersections
Solution Approach 1:
The patent changes the parameter of range rate calculation by introducing a compensation value that accounts for host vehicle motion characteristics. Instead of using raw radar range rate data directly, the system calculates a compensated range rate by subtracting the host vehicle's motion-induced range rate component. This parameter transformation enables accurate object state identification in complex driving scenarios while maintaining computational efficiency.
2Measurement precision
If complex algorithms are used to accurately identify object states in complex driving scenarios, then identification accuracy is improved, but computation time and memory capacity requirements increase
Solution Approach 1:
The patent extracts and separates the host vehicle's motion component from the radar range rate measurements. By calculating the host vehicle's motion-induced range rate based on dynamics sensor data and subtracting it from the total measured range rate, the system isolates the object's true motion state. This extraction approach simplifies the identification algorithm while maintaining high accuracy in complex scenarios.
Solution Approach 2:
The patent introduces a compensated range rate as an intermediary parameter between the raw radar range rate measurement and the final object state determination. This intermediary value, which accounts for host vehicle motion effects, serves as a bridge that enables accurate object state identification without requiring complex algorithms. The compensated range rate encapsulates the necessary corrections in a computationally efficient manner.
3Ease of manufacture
If simple wheel velocity compensation is used, then computation resources are saved, but identification accuracy deteriorates in turning and intersection scenarios
Solution Approach 1:
The patent performs preliminary calculation of the host vehicle's motion-induced range rate component using dynamics sensor data before processing the radar measurements. By pre-calculating the compensation value based on host vehicle speed, steering angle, and other motion parameters, the system prepares the necessary correction in advance. This preliminary action enables the subsequent object state identification to be both accurate and computationally efficient.
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
This approach enables quick and accurate identification of object states in various vehicle movements, enhancing accuracy and reducing computational and memory demands for identifying stationary or moving objects, even in complex scenarios like sharp turns and U-turns.
Implementation Method 1
receiving range rate information about an object located around the host vehicle from a radar sensor
Implementation Method 2
receiving motion information about a host vehicle from a dynamics sensor
Data Source
AI summary
An object identification method and device may be capable of quickly identifying the stationary state or moving state of a detected object for various movements of a radar-equipped vehicle (for example, a sharp turn such as right turn or U-turn in downtown or variously accelerated driving), enhancing the accuracy of object identification, and efficiently reducing the computation time and the requirement of memory capacity for identifying the stationary state or moving state of the detected object.