More robust, secure, and user-friendly

Libertas 24.1.3 brings a series of significant improvements and new features designed to enhance your experience. Here are the highlights of this release:

 

  • Bearer Token Authentication: In addition to Basic Authentication, users can now log in using Bearer tokens (JWT), providing more flexibility and security in accessing the system.
  • String Length Compliance: Libertas now strictly enforces string length limits, aligning with industry standards to ensure data validity.
  • New String Data Support: This release includes support for additional string data types, enhancing the system's capability to handle diverse data formats.
  • UTF-8 Character Set Support: Full support for the UTF-8 character set is now available, ensuring proper handling and display of international characters.
  • Automatic User Group Assignment: New users authenticated via OAuth can now be automatically assigned to a default user group, simplifying user management and access control.
  • Consistent File Downloads: Downloaded files will now consistently use the application/octet-stream content type, following industry recommendations for better compatibility.

 

These enhancements and fixes are part of our ongoing commitment to improving Libertas, making it more robust, secure, and user-friendly.

 

#HighQSoft #SoftwareUpdate #Libertas #Innovation

Enhancing Stability and User Experience

We are pleased to announce the release of ASAM Commander 24.1, packed with enhancements geared towards boosting stability and enhancing user experience across various modules, including some design upgrades throughout the entire application.

 

Web Application Enhancements

  • Commander: Now supports localization in both German and English, alongside fixes for reload/refresh functionality, and the addition of module highlighting in the Navbar for better navigation.
  • Navigator: Has undergone improvements, addressing issues with the Export feature within the Navigator Tree, refining the instance editor, and rectifying data type inconsistencies.
  • MoMa: Now includes Elapsed Time in its monitoring table, enhancing its functionality.
  • Bookmarks: We've upgraded the Bookmarks feature with keyword highlighting, improving search clarity.
  • Search: Fixed pagination issues within Advanced Search, ensuring smoother navigation through search results.
  • Merlin: We've resolved issues related to the Run feature in the HQL Job Type, ensuring seamless operation.
  • Logger: Say goodbye to hostname identification issues! We've enabled container identification by name, ensuring accurate logging and traceability.

 

#HighQSoft #SoftwareUpdate #DataManagement #ASAMCommander #Innovation

Enhancing Performance and Stability

Libertas 23.2.2 introduces several key fixes and improvements aimed at enhancing the performance and stability of the platform. Here's a summary of the notable changes:

 

  • Performance Improvements: The data-create endpoint for PostgreSQL now benefits from multi-value insert statements, resulting in significant speed enhancements, with observed import time reductions of up to 50% in test environments. Additionally, batch size configurations for both data-create and data-update endpoints have been introduced, providing flexibility and optimization options.
  • Model Read and Data Update Fixes: The release resolves problems with model reading for non-super users and ensures correct behavior of the data-update endpoint when handling empty values.
  • Database Connection Pooling: A production-ready database connection pool has been implemented to increase connection reuse and mitigate the risk of reaching maximum connection limits. Configuration options are available via Manatee settings.
  • OSGi Shell for AReS: A new OSGi shell for AReS has been introduced under the 'ares' command, enabling management of Libertas connections and resources via CLI.
  • Database Recovery and Session Timeout Configuration: Libertas runtimes now support automatic recovery after database restarts, minimizing service interruptions. Session timeout mechanisms can also be configured via 'config.xml' files.
  • Enhanced MS SQL Server Support: Improved support for MS SQL Server includes better transaction and connection handling, handling of large parameter queries, and ensuring compatibility with MS SQL Server SQL dialect.
  • Tagging Support: Libertas 23.2.2 introduces support for tagging via HTTP headers, facilitating integration with tools like Postman.

 

#Libertas #LibertasRelease #SoftwareUpdate #HighQSoft

Elevate Your Data Management Experience

We're thrilled to announce the latest release of ASAMCommander, packed with numerous enhancements and improvements that promise to elevate your user experience to new heights. Our team has been hard at work in the AC 23.3 work package, focusing on stability, performance, adding new functionalities and refining overall design to ensure you get the most out of ASAMCommander.

 

 

Web Application Enhancements

  • Navigator: Experience enhanced data visibility across various tabs, including Data View, Attributes, Instances Navigation, and Attachments. Effortlessly export measurement data directly from the tree nodes.
  • MoMa: Benefit of the addition of importer information, capability to import big files, job duration visibility, and enhanced monitoring capabilities.
  • Bookmarks: Bookmark the same element in different lists, with fixes and enhancements for smoother navigation and export capabilities.
  • Search: Navigate through an advanced search with a new design and fixes for better search experience.
  • Merlin: Explore improvements including fixes for evaluation creation, addition of HQL job type, and enhanced upload features.
  • Logger: Gain insights with container name additions to logs table and improved filtering for better analysis.

These enhancements are geared towards making your experience seamless and efficient, empowering you to manage your data effectively.

 

 

Happy exploring!

 

#HighQSoft #SoftwareUpdate #DataManagement #ASAMCommander #Innovation

Project Launch "Reference Sensor Technology for High-Precision Sensor Validation for Automated Driving" (RepliCar)

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

HQL 3.3 - Our 2023 Release is available!

Today, we released a new version of our HighQSoft Query Language. This version provides the following features

  • Fixed multiple bugs regarding ASAM ODS 6
  • Fixed behavior for downloading files
  • Improved handling of value matrices
  • Introduced support of OFFSET commands for =DS5
  • Improved error-handling for multiple commands
  • Update of certificates
  • Several minor bug-fixes

Detailed release information can be found in our Confluence products space at https://highqsoft.atlassian.net/ which requires a log-in.

Testing ASAM ODS Servers and ASAM ODS Clients

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

  • Müller BBM
  • Siemens
  • Vibes Technology
  • KARAKUN

 

 

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.

Release of IIOP Gateway 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.

HQL 3.2 - New version released

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 Command-Line Tool
    (ASAM ODS 5, ASAM ODS 6, ASAM ATFx-read)
  • HQL Library
    (ASAM ODS 5, ASAM ODS 6, ASAM ATFx-read)
  • Matlab ODS Toolbox
    (ASAM ODS 5, ASAM ODS 6, ATFx-read)
  • HQL Web Service
    (container/standalone, ASAM ODS 5, ASAM ODS 6)

 

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.

HQL 3.2 - New version released

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 Command-Line Tool
    (ASAM ODS 5, ASAM ODS 6, ASAM ATFx-read)
  • HQL Library
    (ASAM ODS 5, ASAM ODS 6, ASAM ATFx-read)
  • Matlab ODS Toolbox
    (ASAM ODS 5, ASAM ODS 6, ATFx-read)
  • HQL Web Service
    (container/standalone, ASAM ODS 5, ASAM ODS 6)

 

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.

HighQSoft GmbH

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