To make ANDATA tools better for our customers, we aim for continuous and regular releases. Every update of our tools includes improvements for speed and reliability, as well as many user requests arising from our Support process or direct contact with our customers...
A lot of sensor vendors like Velodyne, IBEO, and similar ones provide ethernet interfaces for their sensors. This enables an easy way to record a huge ammount sensor data in Wireshark format. Further the ethernat format becomes more and more established for numerous differnt sensors types...
The major improvement with respect to version 4.3 concerns the tool documentation. User Guides for Stipulator, Brainer, Mapper and Expectator have been rewritten, significant parts of them completely from scratch, and thoroughly reviewed...
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...
In addition to some enhancements due to Deep Learning (see blog Deep Learning in Matlab) the BRAINER also provides further features to make solving machine learning problems more flexible and efficient. These new functionalities allow a number of new use cases...
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...
