{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/ibeo-develops-adas-sensors-validation/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"Ibeo develops ADAS sensors validation","slug":"ibeo-develops-adas-sensors-validation","createdLocal":"2021-05-21 14:30:53.640417","publishDate":"2021-05-21 08:36:00","feedName":"Autonomous Vehicle News","sourceUrl":{"sourceUrl":"https://www.just-auto.com/news/ibeo-develops-adas-sensors-validation_id201906.aspx"},"postSummary":{"childMarkdownRemark":{"html":"<p>Hamburg-based automotive LiDAR specialist, Ibeo Automotive Systems has developed a new automated solution for the validation of sensors necessary for ADAS and autonomous driving.\nThe ibeo.Reference toolchain also automates and specifies the manual data labelling process, which is personnel and time-intensive.\nRegardless of the technology of the sensor system (camera, radar, or LiDAR), reference data is required for each system and must be compared with the data acquired during the test process.\nThe ibeo Validation Bundle in Ibeo's new toolchain tackles this task: \"As part of the ibeo Validation Bundle, we offer an automated overall solution in the form of the ibeo Auto Annotation Software, which algorithmically generates reference data from the incoming data,\" added Neitzel.\nThe ibeo.Reference toolchain is available now.</p>"}}}},"pageContext":{"slug":"ibeo-develops-adas-sensors-validation"}}}