Evaluation of Camera Recognition Performance under Blockage Using Virtual Test Drive Toolchain.

ABSTRACT: This study is the first to develop technology to evaluate the object recognition performance of camera sensors, which are increasingly important in autonomous vehicles owing to their relatively low price, and to verify the efficiency of camera recognition algorithms in obstruction situations. To this end, the concentration and color of the blockage and the type and color of the object were set as major factors, with their effects on camera recognition performance analyzed using a camera simulator based on a virtual test drive toolkit. The results show that the blockage concentration has the largest impact on object recognition, followed in order by the object type, blockage color, and object color. As for the blockage color, black exhibited better recognition performance than gray and yell

SUBMITTER: Son S 

PROVIDER: S-EPMC10575171 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature