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Development tool provider dSpace has acquired the start-up company Understand.ai for its expertise in training and validation data for autonomous driving. According to dSpace, Understand.ai possesses valuable expertise in field AI-based automated data analysis, data annotation and extraction of simulation scenarios for autonomous vehicles. Development tool provider dSpace has acquired the start-up company Understand.ai for its expertise in training and validation data for autonomous driving. According to dSpace, Understand.ai possesses valuable expertise in field AI-based automated data analysis, data annotation and extraction of simulation scenarios for autonomous vehicles.

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In a highly-automated process, AI-based annotation solutions from understand.ai extract the relevant information from the raw data of the vehicle sensors. dSPACE, the leading provider of solutions for the development of networked, autonomous, and electrically powered vehicles, acquires the start-up company understand.ai. Under the umbrella of the dSPACE group companies, understand.ai will invest in the core tasks, artificial intelligence (AI) applications and cloud-based tools, further develop its existing products as an integral part of the dSPACE product range and use the dSPACE global sales network to market its products and services. The Scenario Generation Service from understand.ai and dSPACE uses existing sets of data recorded during measurement runs. In a highly-automated process, AI-based annotation solutions from understand.ai extract the relevant information from the raw data of the vehicle sensors. This creates realistic and consistent simulation scenarios. dSPACE, the leading provider of solutions for the development of networked, autonomous, and electrically powered vehicles, acquires the start-up company understand.ai.

This creates realistic and consistent simulation scenarios. dSPACE, the leading provider of solutions for the development of networked, autonomous, and electrically powered vehicles, acquires the start-up company understand.ai.

Bionic Gate

Introducing the automation engine for data annotation. Tooling designed by AI-natives to cut costs and to accelerate the training and We at understand AI believe that artificial intelligence is the strongest tool of our current generation and we want to make it accessible for real-world application.

Understand ai dspace

Inventering av datorspel och verktyg för att utveckla - DiVA

dSPACE and understand.ai offer a new service that generates simulation scenarios from recorded measurement data used to validate functions for autonomous driving and driver assistance. As ASAM members, we, at understand.ai and dSPACE have committed ourselves to drive the openLABEL standardization efforts.

“With the Scenario Generation Service, we bring the complexity of the real world into simulation and enable validation with thousands of relevant and critical simulation scenarios,” says product manager Thorsten As ASAM members, we, at understand.ai and dSPACE have committed ourselves to drive the openLABEL standardization efforts. We’re active contributors and lead the Package Labeling Methods workstream within the OpenLABEL Concept Project. „We at understand.ai look after our labeling partners carefully. The Scenario Generation Service from understand.ai and dSPACE uses existing sets of data recorded during measurement runs. In a highly-automated process, AI-based annotation solutions from understand.ai extract the relevant information from the raw data of the vehicle sensors.
Guppy temperatura

Test and validate your autonomous driving functions with simulatable scenarios taken from the real world.

Under the umbrella of the dSPACE group companies, understand.ai will invest in the core tasks, artificial intelligence (AI) applications and cloud-based tools, further develop its existing products as an integral part of the dSPACE product range and use the dSPACE global sales network to market its products and services. The Scenario Generation Service from understand.ai and dSPACE uses existing sets of data recorded during measurement runs. In a highly-automated process, AI-based annotation solutions from understand.ai extract the relevant information from the raw data of the vehicle sensors. This creates realistic and consistent simulation scenarios.
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Bionic Gate

dSPACE and understand.ai offer a new service that generates simulation scenarios from recorded measurement data used to validate functions for autonomous driving and driver assistance. As ASAM members, we, at understand.ai and dSPACE have committed ourselves to drive the openLABEL standardization efforts. We’re active contributors and lead the Package Labeling Methods workstream within the OpenLABEL Concept Project. „We at understand.ai look after our labeling partners carefully.


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