Invention Publication
- Patent Title: CLOSED-LOOP AUTOTUNING FRAMEWORK FOR IMAGE SIGNAL PROCESSOR TUNING
-
Application No.: US18058593Application Date: 2022-11-23
-
Publication No.: US20240169509A1Publication Date: 2024-05-23
- Inventor: Szu-Hao WU , Shu JIANG , Jeong Ho LYU , Linpeng CHENG , Hao LIU , Helen K. PAN
- Applicant: Apollo Autonomous Driving USA LLC
- Applicant Address: US CA Sunnyvale
- Assignee: Apollo Autonomous Driving USA LLC
- Current Assignee: Apollo Autonomous Driving USA LLC
- Current Assignee Address: US CA Sunnyvale
- Main IPC: G06T7/00
- IPC: G06T7/00

Abstract:
The disclosure describes an autotuning framework for tuning an image signal processing (ISP) module of an autonomous driving vehicle (ADV). The autotuning framework can generate different sets of parameter values using a variety of optimization algorithms to configure the ISP module. Each processed image generated by the ISP module configured with the different sets of parameter values is compared by an ISP module testing device with a reference image stored therein to generate an objective core measuring one or more differences between each of the processed images and the reference image. The objective scores and the corresponding sets of parameter values are stored in a database. Different sets of optimal parameter values for different environments can be selected from the database, and uploaded to a cloud database for use by an ADV, which can select a different set of ISP parameter values based on an environment that the ADV is travelling in.
Information query