Bird's-Eye Vehicle Display for 3D Corner Object Visibility
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Solution Overview
Problem
Existing drive assistance systems fail to prevent three-dimensional objects from disappearing in the close proximity of a vehicle in bird's-eye view images, despite being detected by sensors like sonar units.
Innovation Solution
A drive assistance apparatus that includes a sensor with a detection range within the angle of view of a second imaging section, which creates a bird's-eye view image by combining images from the second imaging section and a first imaging section, and sets the detection range of the sensor within a region of the bird's-eye view image based on the image captured by the second imaging section.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the junction boundary between camera images is set in the vicinity of four corners of a vehicle, then the camera installation position and angle of view constraints are satisfied, but three-dimensional objects disappear at the junction boundary creating blind spots
Solution Approach 1:
A third imaging section is introduced as an intermediary component to capture images in the blind spot region near the four corners of the vehicle. This additional camera fills the gap between the first and second imaging sections, ensuring continuous coverage without losing three-dimensional object information at the junction boundaries.
Solution Approach 2:
The surveillance area is segmented into multiple zones, each covered by dedicated imaging sections. The first imaging section covers the front, the second covers the rear, and the third imaging section specifically covers the blind spot region near the four corners, allowing each segment to be optimized for its specific coverage area.
2Measurement precision
If the detection range of sensor is extended to cover close proximity of vehicle, then detection capability is improved, but the three-dimensional object still disappears in bird's-eye view image in close proximity
Solution Approach 1:
Different imaging sections are assigned to different spatial regions with specific quality requirements. The third imaging section is specifically optimized to capture images in the close proximity blind spot region, providing local quality enhancement where it is most needed rather than uniformly across all areas.
Solution Approach 2:
The system transitions from a two-dimensional projection view to a three-dimensional spatial understanding by integrating images from multiple imaging sections positioned at different locations and angles, allowing objects in close proximity to be visualized from multiple perspectives simultaneously.
Data Source
AI summary
A driving assistance apparatus is provided in which the detection range of a left-front-corner sonar (12a) located at the vehicle's left front corner is included in the field of view of a second imaging means (14) located at the vehicle's left front corner. When the left-front-corner sonar (12a) detects a three-dimensional object at the vehicle's left front corner, an image processing means (3) synthesizes an image of the image created using a second imaging means (14) and the images created with four cameras (7a-7d) for imaging the complete periphery of the vehicle, and creates a bird's-eye-view image (40b). The detection range of the left-front-corner sonar (12a) is included within a region of the bird's-eye image (40b) on the basis of the image created with the second imaging means (14).