Vehicular Vision System with Dynamic Camera Orientation
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Solution Overview
Problem
Current vehicle vision systems lack dynamic camera orientation and efficient data processing to provide a comprehensive surround view and collision avoidance capabilities, especially during low-speed maneuvers and varying driving conditions.
Innovation Solution
A vehicle vision system utilizing CMOS cameras with dynamically adjustable orientation via stepper motors and a time multiplexed camera control system, integrated with an EYEQ3 architecture, to capture and process image data for surround view and collision avoidance, adjusting camera fields of view based on speed and user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single camera is used for vehicle vision systems, then the system cost is reduced, but the ability to provide comprehensive surround view and collision avoidance capabilities is limited
Solution Approach 1:
The patent implements dynamic camera orientation adjustment through motorized mounting structures that enable a single camera to change its field of view dynamically. The camera can be rotated and tilted to capture images from multiple directions (front, rear, left, right) sequentially, providing comprehensive surround view capability without requiring multiple fixed cameras. This dynamic repositioning resolves the contradiction by making one camera adaptable to multiple viewing positions.
Solution Approach 2:
The system uses periodic action by sequentially capturing images at different orientations over time. The camera alternates between different viewing angles in a systematic sequence, capturing front, rear, left, and right views in periodic cycles. This temporal multiplexing allows a single camera to gather data that would traditionally require multiple simultaneous cameras, reducing system cost while maintaining comprehensive surveillance capability.
2Device complexity
If camera orientation is fixed, then the device complexity is reduced, but the system cannot adapt to different driving conditions and speeds
Solution Approach 1:
The patent implements dynamic camera orientation adjustment through motorized mounting structures that enable a single camera to change its field of view dynamically. The camera can be rotated and tilted to capture images from multiple directions (front, rear, left, right) sequentially, providing comprehensive surround view capability without requiring multiple fixed cameras. This dynamic repositioning resolves the contradiction by making one camera adaptable to multiple viewing positions.
Solution Approach 2:
The system incorporates feedback mechanisms where the camera control unit receives signals about vehicle speed and driving conditions, then automatically adjusts camera orientation accordingly. During low-speed maneuvers, the system prioritizes capturing ground-level images for parking assistance, while during high-speed driving, it captures distant objects for collision avoidance. This feedback-driven adaptation enables the system to respond intelligently to varying operational contexts.
3Measurement precision
If multiple cameras are used to capture images at different orientations, then the surround view quality is improved, but the data processing load and system cost increase
Solution Approach 1:
The patent implements dynamic camera orientation adjustment through motorized mounting structures that enable a single camera to change its field of view dynamically. The camera can be rotated and tilted to capture images from multiple directions (front, rear, left, right) sequentially, providing comprehensive surround view capability without requiring multiple fixed cameras. This dynamic repositioning resolves the contradiction by making one camera adaptable to multiple viewing positions.
Solution Approach 2:
The system uses periodic action by sequentially capturing images at different orientations over time. The camera alternates between different viewing angles in a systematic sequence, capturing front, rear, left, and right views in periodic cycles. This temporal multiplexing allows a single camera to gather data that would traditionally require multiple simultaneous cameras, reducing system cost while maintaining comprehensive surveillance capability.
4Measurement precision
If the camera captures ground area images for surround view, then the parking assistance is improved, but the collision avoidance capability at higher speeds is reduced
Solution Approach 1:
The patent implements dynamic camera orientation adjustment through motorized mounting structures that enable a single camera to change its field of view dynamically. The camera can be rotated and tilted to capture images from multiple directions (front, rear, left, right) sequentially, providing comprehensive surround view capability without requiring multiple fixed cameras. This dynamic repositioning resolves the contradiction by making one camera adaptable to multiple viewing positions.
Solution Approach 2:
The system changes operational parameters based on vehicle speed. During low-speed maneuvers, the camera is positioned to capture ground-level images with a downward tilt for optimal parking assistance. During high-speed driving, the system adjusts the camera orientation to capture distant objects on the road horizon for collision avoidance. This parameter adaptation allows the same hardware to optimize performance for different operational contexts.
Data Source
AI summary
A vehicular vision system includes a forward viewing camera at a windshield of a vehicle and a plurality of color cameras, and includes a display device operable to display video images derived from image data captured by the color cameras. A processing unit includes a first processing chip that has an image processor for machine-vision processing of captured image data, and a second processing chip that receives vehicle data and receives image data captured by the color cameras. The first processing chip machine-vision processes image data captured by the cameras for object detection and classification of objects. The first processing chip controls operating parameters of the color cameras to enhance object detection based on machine-vision processing by the first processing chip of image data captured by the color cameras. The second processing chip controls operating parameters of the color cameras for display at the display device of video images.


