For automated driving, the secure perception of the environment is a crucial prerequisite. The sensors and processing chains employed must meet the highest standards of reliability, precision, and realism. Currently, there are no approaches for effective and efficient validation of sensors and processing chains. To create the missing data foundation for sensor validation for automated driving, a reference system consisting of radar, camera, lidar, GNSS, and inertial sensors is to be established and integrated into a test vehicle. This reference sensor system surpasses today's production sensor technology by several years and forms the basis for accurate sensor data acquisition.
The Institute for High-Frequency Technology and Electronics (IHE) at the Karlsruhe Institute of Technology (KIT), the Hochschule Offenburg (HSO), and the Freudenberg FST GmbH are jointly developing a highly accurate radar system, which is a crucial component in the reference system for environmental perception and is periodically described by the Institute for Control and Systems Engineering (IRS) at KIT. The consortium leader, ANavS GmbH, enables the creation of an accurate representation of reality, a so-called "Ground Truth," for use in validation processes through the development of precise environmental perception and highly accurate sensor data fusion.
Within the project, the steps from simulated validation to the approval of sensors and functions will be defined and implemented by the consortium partners AKKA, FZI, IAVF, IPG, and GTÜ. The individual innovations in the validation and testing process for production sensor technology encompass AI methods for analyzing recorded scenarios, a "Sensor-in-the-Loop" test bench, integration into existing simulation tools, and a modular verification and validation process. The partners HQS and RAC are building a high-performance data platform for managing, processing, and providing reference data.
With the help of the mobile demonstrator from Dr. Ing. h.c. F. Porsche AG, initial data is recorded and utilized for the approval process of an exemplary perception system. The project has a duration from July 1, 2023, to June 30, 2026, with planned costs of approximately 10 million euros, and is supported by the Federal Ministry for Economic Affairs and Climate Action (BMWK) with approximately 5 million euros from the federal budget.
#RepliCar #AutomatedDriving #EnvironmentalPerception #SensorValidation #DataPlatform #BMWK #HQS
Today, we released a new version of our HighQSoft Query Language. This version provides the following features
Detailed release information can be found in our Confluence products space at https://highqsoft.atlassian.net/ which requires a log-in.
In the 2022 cross-test, participating companies came together to review and improve their software in real-world scenarios. The participants helped each other to understand the small differences in the data formats of the various programs and to solve the difficulties that can arise when interpreting this data. It was also possible to discuss ambiguities, ambiguities, and contradictions in the standard, which can then be eliminated in the next version of the standard. BMW AG hosted this event at the BMW Training Academy in Unterschleissheim.
A test sheet was created for each client, on which the test criteria for the individual servers could be documented. It was very pleasing to see that newer ASAM ODS clients also took part in the event. During the event, some of them were able to adapt their software to improve compatibility with the standard. When problems occurred, the helpfulness of the participants was very great and some misunderstandings could be cleared up. The ATFX files could be examined with several clients and validated with corresponding graphical evaluations.
A special thanks for this goes to BMW AG as host. The participating companies at this crosstest were:
ODS-Server
ODS-Clients
ATFX-Files
We can help! With the IIOP Gateway bridges ASAM ODS 5 clients to ASAM ODS 6 systems. Thus, you can run an ASAM ODS 6 server such as our ARes Server or AReS Libertas ODS Platform while taking time on migrating tools and scripts using ASAM ODS 5.
The IIOP Gateway is now available in version 1.2.
You are still using an ASAM ODS 5 server with CORBA? You would like to migrate your system but have many tools and processes relying on ASAM ODS 5 API.
We can help! With the IIOP Gateway bridges ASAM ODS 5 clients to ASAM ODS 6 systems. Thus, you can run an ASAM ODS 6 server such as our ARes Server or AReS Libertas ODS Platform while taking time on migrating tools and scripts using ASAM ODS 5.
The IIOP Gateway is now available in version 1.2.
Today, we released a new version of our HighQSoft Query Language.
This version fixes a problem that occurs with inconsistent unit tables. Units should be unique and assigned to a physical dimension. If this is not the case HQL could not resolve the mapping between unit and unit ID. But this is necessary, because the ASAM ODS server for attribute values and mass data always provides a unit ID, which then has to be mapped by HQL to the corresponding string presentation.
Also, HQL now contains an experimental Performance Analyzer that can be used to obtain information and statistical data about HQL commands and execution times
HQL is available as
HQL is a versatile and easy-to-learn query language to access measurement data in ASAM ODS solutions. The HQL library assists data analysts and engineers in their daily work to evaluate data and helps developers to integrate new tools and processes into the enterprise test data management solution.
Today, we released a new version of our HighQSoft Query Language.
This version fixes a problem that occurs with inconsistent unit tables. Units should be unique and assigned to a physical dimension. If this is not the case HQL could not resolve the mapping between unit and unit ID. But this is necessary, because the ASAM ODS server for attribute values and mass data always provides a unit ID, which then has to be mapped by HQL to the corresponding string presentation.
Also, HQL now contains an experimental Performance Analyzer that can be used to obtain information and statistical data about HQL commands and execution times
HQL is available as
HQL is a versatile and easy-to-learn query language to access measurement data in ASAM ODS solutions. The HQL library assists data analysts and engineers in their daily work to evaluate data and helps developers to integrate new tools and processes into the enterprise test data management solution.
Today, we released a new version of our HighQSoft Query Language.
This version fixes a problem that occurs with inconsistent unit tables. Units should be unique and assigned to a physical dimension. If this is not the case HQL could not resolve the mapping between unit and unit ID. But this is necessary, because the ASAM ODS server for attribute values and mass data always provides a unit ID, which then has to be mapped by HQL to the corresponding string presentation.
Also, HQL now contains an experimental Performance Analyzer that can be used to obtain information and statistical data about HQL commands and execution times
HQL is available as
HQL is a versatile and easy-to-learn query language to access measurement data in ASAM ODS solutions. The HQL library assists data analysts and engineers in their daily work to evaluate data and helps developers to integrate new tools and processes into the enterprise test data management solution.
Containers are a common way to bundle and run applications. In production environments, a key aspect is ensuring that there are no system downtimes. With growing systems and many applications not only that but also resource management becomes more difficult.
This is where Kubernetes helps out. Kubernetes provides a framework to run distributed systems resiliently. It is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. Thus, Kubernetes takes care of scaling and failover for system application, provides deployment patterns, and more:
At HighQSoft, we migrated the following products to Kubernetes:
As a next step, HQL and AReS Gateway will be enhanced with advanced Monitoring and Logging features.
Please regard the following for our products: We are NOT using Log4j within our products NOR do we have a direct dependency on it.
Also, HighQSoft always publishes log activities in files and does not use Log4j servers. Therefore, other third-party components MAY NOT exploit the identified issue within HighQSoft products.
If there are any questions or remarks, please contact us.
Today, we released a new version of our HighQSoft Query Language.
This version fixes a problem that occurs with inconsistent unit tables. Units should be unique and assigned to a physical dimension. If this is not the case HQL could not resolve the mapping between unit and unit ID. But this is necessary, because the ASAM ODS server for attribute values and mass data always provides a unit ID, which then has to be mapped by HQL to the corresponding string presentation.
Also, HQL now contains an experimental Performance Analyzer that can be used to obtain information and statistical data about HQL commands and execution times
HQL is available as
HQL is a versatile and easy-to-learn query language to access measurement data in ASAM ODS solutions. The HQL library assists data analysts and engineers in their daily work to evaluate data and helps developers to integrate new tools and processes into the enterprise test data management solution.
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