One of ANDATA's core competences is the scenario management for the development and validation of control algorithms for cooperative, connected, automated driving and traffic automation. The following table lists the different ANDATA tools and their tasks within the scenario management according the given definitions...
Based on the developments in the field of failure prediction with CoMModO, ANDATA is introducing a further, new, radical innovation in the successful application of Artificial Intelligence (AI): AI-based, automated structural analysis in the post-processing of Finite Element simulations and its integration into Simulation Data Management Systems. This blog describes the basic motivations and ideas behind it.
From now on there is a first beta version of ANDATA's new Geographic Information Systems Toolbox for selected customers and projects available.
The Geographic Information Systems Toolbox is a tool for labeling and specifically analysing trajectories from Naturalistic Driving Data, Field Operational Test Data (FOT), fitnes-trackers, GPS trackers, etc. an assigning geographical and spatial context information to that data...
Nowadays in context of machine learning and artificial intelligence often the term Deep Learning (DL) is used. The meaning of DL is not clearly defined - however (very) large and deep (neural) networks are mostly hidden behind the buzzword. Accordingly DL is not completely new, but...
Most of our statistical evaluations rely on the Cumulative Distribution Function (CDF), even a histogram seems to be more intuitive at the first look and needs less explanation. In practice the CDF offers a couple of advantages, which make it worth getting acquainted with the CDF...
