Update to vADASdeveloper visualises sensor data, says Vector

The latest version of the vADASdeveloper, version 2.5 supports developers of multi-sensor applications for ADAS and automated driving. Graphical configuration of object information allows the tool to quickly and easily visualises sensor data, says Vector. Display windows can be used to integrate reference lidar systems to simplify the interpretation of object data and the results of fusion. A scalable recorder makes it possible to handle very high measurement data rates of more than 1Gbbyte per second – typically found in ADAS environments, confirms Vector.
A graphical editor simplifies mapping of information from application data objects (position, size, colour coding for object type) to the properties of graphic objects, to visualise sensors. Pre-defined 2D/3D forms and a point cloud object for LiDAR/Time of Flight cameras enable complete rendering of sensor objects, environmental contours and fused data in a short time, says Vector, with no or only minimal coding effort. After data has been assigned to the graphic objects, they can be displayed in a synchronised manner in several windows.
Developers can select from a range of new display windows to ease correct interpretation of sensor data and fusion results. For example, the hardware-accelerated 3D scene window from vADASdeveloper visualises a variety of environmental models and reference data. Vehicle positions and location-dependent information are displayed in the OpenStreetMap-based map window. Reference cameras for acquiring data about the vehicle’s real environment can now be calibrated with partial automation. Objects recognised by an engine control unit (ECU) can be superimposed on the video image, for developers to verify their object recognition algorithms by visually comparing the object information supplied by the sensors or algorithms with the real environment.
Vector has also added ibeo LUX, ibeo HAD, and Velodyne (VLP-16/HDL-32E) LiDAR sensors to the range of input devices supported by vADASdeveloper. Its scalable, decentralised recorder, which is already implemented in the CANape measurement and calibration tool, records the steadily increasing quantities of sensor data generated during test drives. Data rates of more than 1GByte per second can be realised for XCP on Ethernet, video and raw radar data, confirms Vector.
vADASdeveloper can be used with the Create modular algorithm library from BaseLabs for rapid prototyping of sensor fusion applications, claims Vector.



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