Cascade Camera ISP Tuning for Multi-Application Autonomous Vehicles
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Solution Overview
Problem
Tuning multiple cameras on an autonomous vehicle for different applications and locations is time-intensive and difficult due to varying processing configurations.
Innovation Solution
Implement a cascade camera ISP architecture that first performs type-based tuning for cameras of the same type and then application-based tuning, reducing the time required for tuning by copying common ISP parameters and adjusting application-specific parameters individually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each camera is tuned individually with full ISP parameter adjustment, then the tuning precision and application-specific optimization are improved, but the time consumption and complexity of the tuning process increase significantly
Solution Approach 1:
The patent segments the ISP tuning process into two distinct stages: camera-type-based tuning that applies common parameters to all cameras of the same type, and application-based tuning that adjusts specific parameters for individual applications. This segmentation allows the majority of parameters to be tuned once at the camera type level, while only application-specific parameters require individual adjustment, thereby reducing overall tuning time while maintaining precision.
Solution Approach 2:
The patent performs preliminary camera-type-based tuning before application-specific tuning. By pre-establishing common ISP parameters for cameras of the same type, the system eliminates the need to repeatedly adjust these parameters for each individual camera or application, significantly reducing the time required for subsequent application-based tuning while ensuring consistent baseline quality.
2Adaptability or versatility
If full ISP parameter tuning is performed for each camera individually, then the application-specific optimization is improved, but the complexity of the tuning process increases
Solution Approach 1:
The patent divides the tuning process into camera-type-based tuning and application-based tuning segments. The first segment handles common parameters for all cameras of the same type, while the second segment handles application-specific parameters. This segmentation reduces complexity by organizing the tuning workflow into manageable stages with clear responsibilities, avoiding the need to manually configure every parameter for every camera individually.
Solution Approach 2:
The patent creates a universal tuning framework where camera-type-based parameters serve multiple cameras and applications simultaneously. By establishing common ISP parameters at the camera type level, the system achieves universality that applies across multiple contexts, reducing the overall complexity while still allowing for application-specific customization when needed.
3Productivity
If camera-type-based tuning with parameter copying is used, then the tuning efficiency is improved, but the adaptability to application-specific requirements may be reduced
Solution Approach 1:
The patent segments parameters into camera-type-based common parameters and application-specific parameters. The camera-type-based tuning efficiently copies common parameters across multiple cameras, while the subsequent application-based tuning stage allows for precise adjustment of application-specific parameters. This segmentation ensures that efficiency gains from parameter copying do not compromise application-specific adaptability.
Solution Approach 2:
The patent applies local quality by allowing different levels of parameter customization: common parameters are uniformly applied at the camera type level for efficiency, while application-specific parameters can be locally adjusted to meet specific application requirements. This ensures that each parameter receives the appropriate level of customization based on its relevance to camera type versus application needs.
Data Source
AI summary
Provided are methods for cascade camera image signal processing (ISP) tuning, which can include receiving first image data at a first time associated with a first image sensor of a camera, generating at least one tuned first ISP block parameter for at least one first ISP block based on the first image data and first tuning criterion, receiving second image data at a second time, and generating at least one tuned second ISP block parameter for at least one second ISP block based on the second image data and second tuning criterion. Some methods described also include tuning parameters of at least one ISP block of a camera after receiving tuned parameters. Some methods describe also include generating an image using ISP blocks tuned using various tuning criteria. Systems and computer program products are also provided.