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Data Logging Solution

dSPACE offers you a comprehensive high-performance solution for in-vehicle data acquisition, advanced data insight, and integrated data ingestion.

In-Vehicle Data Acquisition

The robust, modular, and flexible in-vehicle data logger from the AUTERA product family offers you a solution for all your data logging challenges. AUTERA features a unique combination of high computation power and a wide data bandwidth (50 Gbit/s) in a compact form factor, allowing you to connect more sensors and interfaces via one single box.

AUTERA AutoBox lets you design your data logging system faster and specific to your requirements. The broad range of supported buses and networks, including raw data interfaces for camera sensors, simplifies the integration and therefore minimizes your effort. 

As the complementary software for onboard data acquisition, you can use either RTMaps from Intempora or a software product of your choice with a provided API. With RTMaps, data from multiple heterogeneous sensors (camera, lidar, radar, automotive buses, networking, communication) is captured and recorded in a synchronized manner with high precision timestamping. Each data sample is captured with a time stamp at its own pace. This ensures that all data is time-correlated. RTMaps is a component-based software and offers you a comprehensive and easy-to-use graphical user interface while also providing an API for process automation.

For easy control of the data recording and the manual data tagging during the test drive, you can use the driver application RTag from Intempora, which can be installed on a laptop or a mobile device such as a tablet PC. The tablet can be attached to the dashboard for easy access.

RTag is a mobile application that is used for logging data and annotation use cases in addition to the data logging software (RTMaps) that runs on AUTERA. RTag allows you to control the recording (start/stop) and lets you monitor the status of the vehicle sensors. Moreover, RTag can be used to annotate data while driving. Annotations of relevant situations can be added by tapping a user-defined button on the screen, for example, to add tags, such as ’roadworks‘, ’temporary speed limit‘, or any other user-defined tag. This description is useful for filtering the data and allows for easier navigation of the recorded data in future searches. If the tags are synchronized with the recordings, relevant situations can also be found more quickly among the large data volumes using the Intempora Validation Suite (IVS).

Data Ingestion

For efficient data ingestion from the vehicle to your on-premise or cloud-based data center, dSPACE has developed the AUTERA Upload Station.

The AUTERA Upload Station is an open platform with high-bandwidth interfaces that allows for easy integration into your data pipeline and speedy data ingestion.

The hot-swappable AUTERA SSDs ensure a very simple process for the data storage exchange and thus minimize idle times in the data garage or in the field.

Control and Management

If you have or plan on having a larger fleet of test vehicles, dSPACE provides you with a control and management application that helps you make full use of your fleet. The application is a web-based solution that lets you continuously monitor the status of the recording in each individual fleet vehicle. 

In addition, system and configuration updates can be efficiently executed over the air in multiple vehicles at the same time.

Smart Data Logging

You can use tagging at the source and advanced algorithms (supported by a high-performance GPU) to filter and reduce recorded data volumes to a relevant subset. You do not want to pay for the data that does not add value to development and validation. Filtering does not only save you costs during data ingestion, storage, and transfer, it also reduces the valuable time for data ingestion and thus shortens the data cycle. Particularly interesting situations detected in the recording can be privileged to shortcut the path to developers by wireless transmission during the drive. A definition of the situations that you want to record can be supported by artificial intelligence (AI) algorithms. In this case, developers and test engineers will not have to explicitly list specific aspects.

Engineering

Every solution is as individual as the requirements. Every model-based algorithm is as good as the training data. Thanks to our experience in the bus and AI domain, established data pipeline, computing infrastructure and synergy with annotation, dSPACE can help you integrate the solution and quickly adapt it to your requirements.

For data logging, dSPACE offers specific engineering services in:

  • Raw sensor interface adaptation (TAP mode)
  • Sensor configuration
  • Integration of data ingestion
  • Data filtering and redundancy reduction

Related Topics:

Data Annotation

On the fast track to accurate ground truth data using deep-learning-assisted 2-D/3-D sensor data annotation

Data Management

IVS – Intempora Validation Suite from Intempora is a cloud-based software solution for training, testing, benchmarking and validating your ADAS (advanced driver assistance systems) and HAD (highly automated driving) software functions, including perception (computer vision, data fusion, localization) and deep learning (CNNs, DNNs) algorithms against large driving sensor datasets stored in big data architectures in the cloud or on-premise.

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