Vehicle Collision Avoidance Control Using Sensor Area Segmentation
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Solution Overview
Problem
Existing collision avoidance control systems for vehicles fail to accurately determine whether objects detected by cameras and radar sensors are the same, leading to potential collisions when vehicles enter the camera detection area from the side, as the radar sensors may not receive reflected waves from the entire object, resulting in incomplete detection and missed collision avoidance controls.
Innovation Solution
A collision avoidance control apparatus that determines if objects detected by cameras and radar sensors are the same by setting a specific region that includes the camera detection area and a contiguous area outside it, adjusting the region size based on the object's category to ensure accurate detection and initiate collision avoidance controls promptly when a vehicle enters the camera detection area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the first sensor (camera) detects an object in the first area, then the object detection capability is improved, but the second sensor (radar) may not receive reflected waves from the entire object, resulting in detection failure
Solution Approach 1:
The patent segments the detection area into a first area (narrower, camera-optimized) and a second area (wider, radar-optimized), where the second area includes the first area. This segmentation allows each sensor to operate in its optimal detection zone, with the camera handling detailed detection in the first area and the radar providing broader coverage in the second area, ensuring reliable detection even when the object is partially in the first area.
Solution Approach 2:
The patent introduces a spatial dimension solution by creating a nested detection area structure where the second area (radar coverage) encompasses the first area (camera coverage). This dimensional approach allows the system to detect objects that may be partially visible to the camera by utilizing the radar's broader coverage area, thereby improving overall detection reliability.
2Adaptability or versatility
If the first area is narrower than the second area, then the first sensor can detect objects entering from the side, but the second sensor may not detect the same object, leading to missed collision avoidance control
Solution Approach 1:
The patent merges the detection results from both sensors by establishing a relationship where the second area includes the first area. When an object is detected by the first sensor in the first area, the system checks if it is also detected by the second sensor in the second area. This merging approach ensures that objects detected by either sensor can trigger collision avoidance control, improving reliability while maintaining adaptability to side-entering objects.
3Measurement precision
If the system requires both sensors to detect the same object, then false positives are reduced, but objects entering from the side are missed, causing the vehicle to move too close to other vehicles
Solution Approach 1:
The patent implements preliminary action by establishing a hierarchical detection area structure before object detection occurs. The second area (radar coverage) is pre-configured to include the first area (camera coverage), so that when an object enters the first area, the system can immediately check the broader second area for additional detections. This preliminary setup reduces response time by having the detection zones ready and relationships pre-established.
Solution Approach 2:
The patent applies local quality by assigning different detection characteristics to different areas: the first area has high detection precision for object identification (camera-optimized), while the second area has broader coverage for early detection (radar-optimized). This local differentiation allows the system to maintain high identification accuracy while reducing response time through the broader radar coverage area.
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 solution enables accurate determination of objects within the camera and radar detection areas, allowing for timely execution of collision avoidance controls, thereby preventing vehicles from moving closer to other vehicles entering the camera detection area, enhancing safety by ensuring comprehensive detection and response.
Implementation Method 1
a first sensor configured to capture a predetermined first area in a peripheral region of the vehicle to acquire image data, detect as a first object an object present in the first area through use of the image data
Implementation Method 2
a second sensor configured to, through use of an electromagnetic wave, detect as a second object an object present in a predetermined second area in the peripheral region of the vehicle
Data Source
AI summary
Provided is a collision avoidance control apparatus for a vehicle including a first sensor configured to detect a first object present in a first area; a second sensor configured to detect a second object present in a second area; and a controller configured to execute collision avoidance control when determining the first object and the second object as the same object, in which the controller is further configured to determine the first object and the second object as the same object when determining that the first object enters the first area, and determining that at least part of the second object is present in a specific region, the specific region being a region which includes a first object region in which the first object exists, and which includes a part of a region contiguous to the first object region and outside of the first area.