understand.ai, a dSPACE company, presents AI-based solutions at CES
From 2-D bounding boxes to 3-D lidar point cloud annotations or 3-D sensor fusion projects - understand.ai covers the broad diversity of all regular ADAS/AD requirements, annotation types, and sensor data formats.
Karlsruhe/ Las Vegas, 4.1.2023. understand.ai today announced that the company has earned the 2022 Frost & Sullivan Best Practices Market Leadership Award in the European autonomous driving annotation solutions market. understand.ai is a leading software and SaaS service solutions provider specializing in automated ground truth data annotations using artificial intelligence. Following a rigorous evaluation, Frost & Sullivan recognizes the capabilities and the rapid growth of understand.ai and its ability to make AI accessible for automated annotated solutions in real-world applications for the advanced driver assistance systems/autonomous driving (ADAS/AD) market.
“understand.ai is addressing an unmet AD market need not easily replicated by competitors. Frost & Sullivan commends the company on its steadfast approach towards focusing on providing robust core annotation products backed by machine learning and AI expertise,” said Steven Lopez, Best Practices Research Analyst at Frost & Sullivan.
According to the Frost & Sullivan report, ”understand.ai is one of the world’s top providers that develop AI-driven data annotation solutions for the AD industry, working with world renowned automotive clients in Europe, North-America, and Asia-Pacific.“ Customers benefit from understand.ai’s automotive domain expertise, delivering complex ground truth ADAS/AD programs at scale with consistent quality. From 2-D bounding boxes to 3-D lidar point cloud annotations or 3-D sensor fusion projects - understand.ai covers the broad diversity of all regular ADAS/AD requirements, annotation types, and sensor data formats.
understand.ai‘s portfolio can be used for training and validation to produce ground truth data in the ADAS/AD development process. The company offers a labeling service for training data. Training data projects typically come with moderate data volumes and highly variable and demanding labeling. With its highly flexible labeling platform, understand.ai can tailor workflows to the exact customer needs. understand.ai excels in sensor fusion projects with complex multisensor setups which require sophisticated frame registration, lidar scan stitching, ego-motion compensation, motion distortion compensation, ground-plane estimates, highly precise 3-D to 2-D projections, multi-camera labeling, and more.
understand.ai is also an expert in the field of very large validation projects which can only be processed with an exceptionally high amount of automation. Its successes in automating complete labeling workflows mean that manual work can be reduced significantly and that consistently high quality can be achieved and delivered in a predictable timeframe. This way, the validation of advanced driving functionalities even enables the introduction of functionalities into markets which would otherwise be too small to justify the cost.
The UAI data anonymization, and data annotation portfolio integrates seamlessly with dSPACE solutions for data logging on one hand and data replay and simulation on the other.
“Receiving Frost & Sullivan's Best Practices Award proves our leadership position in the annotation market. By applying our AI-based technology and our domain competence, we provide value for our customers accelerating the development process, ensuring the right data quality, " commented Jürgen Daunis.
At CES in Las Vegas (Jan. 5-8, 2023), the company is showcasing its offerings and services in Las Vegas Convention Center West Hall, Booth 4417.
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