Vehicle Target Recognition Apparatus for Erroneous Object Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems face challenges in accurately identifying objects on the road, leading to erroneous estimations and unnecessary operations, particularly when multiple objects appear overlapped due to vehicle curvature, resulting in inappropriate activation of safety features like automatic braking.
Innovation Solution
A target recognition apparatus equipped with a detecting unit and an estimating unit that suppresses or prohibits predetermined vehicle operations when conditions indicate potential erroneous estimation, ensuring accurate object type classification and preventing unnecessary controls, even when the probability of collision is high.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If object type estimation is performed based on reception strength of reflection waves, then the capability to identify object type is improved, but erroneous estimation occurs depending on vehicle cruising state
Solution Approach 1:
The system changes the parameter used for object type estimation from reception strength alone to a combination of reception strength and vehicle cruising state parameters (steering angle, vehicle speed, acceleration). This multi-parameter approach resolves the contradiction by maintaining identification capability while eliminating erroneous estimations that occur under specific cruising conditions.
Solution Approach 2:
The system incorporates feedback from vehicle state sensors (steering angle sensor, vehicle speed sensor, acceleration sensor) to continuously monitor cruising state and adjust object type estimation accordingly. This feedback mechanism prevents erroneous control operations by validating detection results against actual vehicle dynamics.
2Reliability
If PCS control is activated based on detected objects, then collision avoidance capability is improved, but unnecessary control operations occur due to erroneous object estimation
Solution Approach 1:
The system performs preliminary verification of object type estimation by checking multiple parameters (reception strength, steering angle, vehicle speed, acceleration) before activating PCS control. This preliminary action filters out false positives that would trigger unnecessary control operations while maintaining readiness for genuine collision risks.
Solution Approach 2:
The system introduces an intermediary verification layer between object detection and control activation. This intermediary layer cross-checks detection results with vehicle state parameters and object characteristics, serving as a mediator that prevents direct activation of control based solely on reception strength, thereby eliminating unnecessary operations.
3Area of stationary object
If multiple objects are detected simultaneously, then detection coverage is improved, but object type classification accuracy deteriorates due to overlapping detection
Solution Approach 1:
The system segments the detection process by analyzing individual object characteristics (reception strength, position, size) separately even when multiple objects are detected simultaneously. This segmentation approach maintains classification accuracy for each object while preserving comprehensive detection coverage across the entire detection area.
Solution Approach 2:
The system applies local quality analysis by evaluating specific characteristics (reception strength, object size, position) for each detected object individually rather than treating all detections uniformly. This local analysis enables accurate classification of each object type even when multiple objects appear in the detection field.
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
The apparatus enhances vehicle control capabilities by accurately identifying objects and preventing unnecessary operations, thereby reducing false alarms and improving safety by ensuring only necessary safety features are activated.
Implementation Method 1
a millimeter-wave radar 11 that detects whether or not an object (such as a preceding vehicle, an oncoming vehicle, a guardrail, or a pedestrian) is present ahead of the vehicle 100, and, when the object is present, detects a distance from the vehicle to the object, a lateral position of the object, and a relative speed of the object with respect to the vehicle
Implementation Method 2
the reception strength of reflection waves in the millimeter-wave radar
Data Source
AI summary
A target recognition apparatus includes a detecting unit and an estimating unit. The detecting unit detects an object that is present in a traveling direction of a vehicle, and acquires information for estimation that is used to perform an object type estimation to presume whether or not the detected object is an object to be used in control for enabling the vehicle to perform a predetermined operation. The estimating unit performs the object type estimation based on the information for estimation. When a predetermined first condition is met, the control for enabling the vehicle to perform a predetermined operation is prohibited or suppressed. The predetermined first condition indicates that erroneous estimation may occur in the object type estimation.