Efficiently Manage Globally Distributed Test Drive Data

Automate Data Insights with AI-Model Library

Tag, annotate, anonymize, and more with plug-and-play modules from our AI model library and partner ecosystem

Optimize Data Handling Costs with Hybrid Cloud

Combine the scalability benefits of a public cloud with the data protection and cost benefits of on-premise clusters

Reduce Cross-Continental Data Transfers Costs

Search, preview, select, and create test data sets without copying the actual recordings

Excellent API Integrations and Engineering Support

Open APIs and our global development teams help you add features, integrate third-party tools and get certified.

What is the IVS sensor data management platform for ADAS/AD?

IVS is an open, cloud-based software platform that allows you to analyze, preview, and tag test-drive data that is stored in the cloud, on-premises, and in globally distributed storage architectures. 

  • Create a cost-effective global data lake for ADAS/AD. 
  • Take advantage of hybrid cloud architectures and reduce up to 80% of public cloud costs
  • Best-in-class data insights with the plug-and-play AI model ecosystem.
  • Create and manage ODD test data sets with advanced search and scenario filtering.
  • Open APIs for easy integrations and feature extensions.
  • Supported by the dSPACE automotive development tool chain and global engineering teams
  • Smart fleet management for targeted data acquisition campaigns for ADAS/AD

The IVS sensor data management platform acts as the central hub for your automated driving validation pipeline, seamlessly bridging data collection and consumption.
 

Application Areas

The IVS sensor data management platform is used for developing systems for automated driving (ADAS/AD) for:

  • Passenger vehicles
  • Commercial vehicles
  • Agriculture machinery
  • Off-highway vehicles
  • Mining trucks and machinery
  • Rail industry
  • Aerospace and drones
  • Marine vehicles and machinery
Create a Global Data Lake

Create a Global Data Lake

A key factor in the effective handling of big data in the context of ADAS/AD is ensuring that test drive data that is collected in a specific region is visible and accessible to the globally distributed development and validation teams.

Global Data Lake

  • Unified view of the content of globally distributed storages through IVS web front end.  

Data Preparation

  • Automate mandatory data preparation steps, such as anonymization and data integrity checks, to remain GDPR-compliant.

Hybrid Cloud Architectures

  • Combine the needs-based scalability of the public cloud with the cost benefits of on-premise clusters
  • Reduction of fees for cross-continental data transfers by a factor of 5.

Best-in-Class Data Insights through Plug-and-Play AI Model Ecosystem

Since an ODD definition (Operational Design Domain) must be testable, ODD attributes and their definition play a key role in scenario-based testing and function validation.

Therefore, a great deal of focus in IVS is placed on generating the proper data insight to allow the user to create data sets relevant to each ODD definition.

The platform combines manual and automatic indexing modules with AI-based scene understanding to build a catalog of your sensor data. This data insight gained by AI-enhanced pre-annotation jobs in IVS helps you save up to 80% of data annotation efforts and more than 50% of storage costs. 

Data Enrichment Modules

  • Digital map annotators (OSM, TomTom, Here, and more)
  • Weather service annotation 

Plug-and-Play, AI-Based Tagging Modules For

  • Lane detection
  • Traffic object classification (vehicles, pedestrian, cyclist, and others)
  • Camera-based maneuver detection for highway scenarios
  • Lidar point cloud object detection and tracking
Create and Manage Test Data Sets with Advanced Search and Scenario Filtering

Create and Manage Test Data Sets with Advanced Search and Scenario Filtering

The IVS sensor data management platform gives development teams that are distributed across the globe unprecedented access to test scenarios with its intuitive web-based graphical user interface. IVS lets you manage data campaigns comprehensively and create dashboards for ODD data coverage tracking.

With IVS, multiple independent users from across the globe can work simultaneously. For example:

  • Analyze real and simulated test drives.
  • Create data sets for testing and validation.
  • Filter redundant content.
  • Run automated workflows.

Tag Based Search

In IVS, users run annotation jobs to create tags for recordings. The user can search the existing tags and combine different categories to formulate advanced search queries, e.g. “ego cut-in on highway in rain” or “speed limit < 60 mph and approaching a roundabout”. 

  • Create statistics for queried tags.
  • Use logical operators to combine search terms.
  • Track ODD coverage and detect gaps.

Similarity Search with Images

Accelerate your ADAS/AD function validation using the advanced similarity search feature. You can now easily find desired scenes and objects using a reference image, even when the objects are not labelled.

  • Search for an image using another image.
  • Find dozens of variants for the scene.
  • Accelerate the path to accuracy.
     

Prompt Based Search for Better ODD Coverage

Use natural language prompts like "baby-stroller on the road" as an alternative way to tag-based querying. Trained on dSPACE's large automotive sensor dataset, our generative AI can help you find complex and edge scenarios faster. 

  • Use natural language description as input to search.
  • Search for wide varieties of static and dynamic objects.
  • Scenario mining of complex and edge cases.

Easily Integrate IVS with Cloud or On-Site Storage, Internal Tools, and External Applications

IVS is designed so that it can be easily integrated into existing customer infrastructures. Thanks to the open APIs and support from dSPACE’s global engineering teams, IVS can:

  • Easily integrate with your development tool chain – developed or purchased.
  • Extend functionality with third-party components.
  • Run pre-annotation jobs from dSPACE, partners, or custom-built.

We continuously extend our partner ecosystem with state-of-the-art tagging and anonymization modules tailored to the specific requirements of your region.

Supported by dSPACE Automotive Development Tool Chain and Global Engineering Teams

IVS is tightly integrated with the dSPACE tool chain for data-driven development and validation. And our highly skilled engineering teams will support your implementation and use of IVS wherever you are. 

Some of the tools and services that IVS can work with include:

  • Strong infrastructure to support logging campaigns with the dSPACE AUTERA data logging system
  • Anonymization as per your region’s laws using plug-and-play AI library modules
  • Seamless coupling to the SIMPHERA data replay testing tool for software and hardware reprocessing
  • Tools for test environment configuration, orchestrated and scaled test execution, and debugging

Smart Fleet Management for Targeted Data Acquisition Campaigns for ADAS/AD

In this joint initiative with AWS, we aim to drastically reduce your turnaround time for data collection: from the definition of requirements to when the data is made available in the data center. The system records only the precise data that is needed, saving time and money in each development cycle.

In this solution, the dSPACE AUTERA AutoBox (an in-vehicle data logger that provides high computing power, bandwidth, and storage capacity) runs object identification algorithms on the onboard GPU to enable scene understanding. The scene understanding gained in combination with CAN signals is used to trigger the recording process according to a user’s set criteria or threshold, such as the number of pedestrians or vehicles in the vehicle’s field of view.

The user defines the threshold within IVS and when the specified threshold is exceeded, the AWS FleetWise component running in RTMaps triggers an upload of the recording into the AWS cloud. After the data is ingested into the cloud, the data can be viewed and manipulated in IVS.
 

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