Study on image generation method to support evaluation of automated driving systems. Fine-tuned an image generator on the Zenseact Open Dataset using 100,000 road-scene images annotated with 3D bounding boxes. Demonstrated ability to generate plausible images reflecting scenario specifications and to create images causing detection errors in object detectors. Next steps include quantitatively evaluating validity and realism of generated images and developing methods to automatically identify scenario specifications that degrade object detector performance.
Proposal to add Japanese fuel (E0) to the reference fuel options, delete the manufacturer declaration value of normal idle CO, and change the provision of high idle and lambda into a Contracting Party option.
Global Technical Regulation