Vehicle Surroundings Monitoring Prioritizing Required Deceleration
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Solution Overview
Problem
Conventional vehicle collision avoidance systems using onboard cameras may fail to appropriately select objects for collision avoidance control due to low camera detection reliability when objects are close, leading to potential collisions.
Innovation Solution
A vehicle surroundings monitoring apparatus that prioritizes objects with high required deceleration over those with high detection reliability, using a camera object position obtainment section, camera control target candidate selection section, and control execution section to select and execute collision avoidance control for objects likely to collide, with reliability correlation values smoothed to stabilize object selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera detection reliability is set to increase with the degree of similarity between the object image and template, then the measurement precision is improved, but the reliability decreases when the object is very close to the vehicle
Solution Approach 1:
The patent changes the selection criterion from camera detection reliability to required deceleration. When an object is detected within a predetermined distance threshold, the system prioritizes objects requiring larger deceleration values for collision avoidance, regardless of camera detection reliability. This parameter change ensures that close objects are properly prioritized for collision avoidance control.
2Measurement precision
If the system prioritizes objects with high camera detection reliability, then the measurement precision is improved, but the productivity of collision avoidance control is reduced because close objects may be missed
Solution Approach 1:
The system changes the priority criterion from detection reliability to required deceleration based on distance. Objects within the distance threshold are evaluated by their required deceleration values, ensuring that close objects requiring urgent avoidance are prioritized over distant objects with higher detection reliability.
Solution Approach 2:
The system preliminarily identifies objects within the predetermined distance threshold and prepares their required deceleration values in advance. This preliminary action ensures that when collision avoidance control is needed, the system can immediately prioritize the most critical close objects without delay.
3Manufacturing precision
If the required deceleration is calculated based on relative position, then the control precision is improved, but the device complexity increases due to additional calculation requirements
Solution Approach 1:
The system uses relatively simple parameter changes: calculating required deceleration based on relative position and comparing it against a threshold. This approach achieves high control precision without requiring complex device modifications, as it primarily involves computational logic rather than additional hardware complexity.
Data Source
AI summary
A surroundings monitoring apparatus obtains the position of an object from a captured image of a region in a heading direction of a vehicle, and obtains a position obtainment accuracy. When the distance between the object and the vehicle becomes relatively short, the position obtainment accuracy increases. However, the distance between the object and the vehicle becomes shorter, the position obtainment accuracy may decrease. Therefore, if collision avoidance control is performed for an object selected on the basis of the position obtainment accuracy, there is a possibility that the collision avoidance control is not performed for an object which is most likely to collide with the vehicle. In view of this, the apparatus obtains, for each object, a required deceleration which is the magnitude of acceleration necessary for stoppage at a position before the object, and performs the collision avoidance control for an object which is the largest in the required deceleration.


