Expanded software infrastructure for ADAS algorithm development

October 06, 2017 // By Graham Prophet
The latest version 2.5 of Vector Informatik’s vADASdeveloper provides support for developers of multisensor applications for ADAS and automated driving.

Vector's tool visualizes sensor data through graphical configuration of object information. Users get new display windows and can integrate reference LIDAR systems in order to simplify the interpretation of object data and the results of fusion. A scalable recorder solution makes it possible to handle very high measurement data rates of more than 1 gigabyte per second that are typical in ADAS environments.

 

For creating the visualization of sensor data, a graphical editor simplifies mapping of information from application data objects (position, size, colour coding for object type) to the properties of graphic objects. Several predefined 2D/3D forms and a point cloud object for LIDAR/ToF cameras enable complete rendering of sensor objects, environmental contours and fused data in a short time, with no or only minimal coding effort. After data has been assigned to the graphic objects, they can be displayed in a synchronized manner in several windows.

 

[image above; Synchronous, customizable visualization of recorded sensor data provides developers with important information on the results of sensor data fusion and object recognition algorithms. A video window, GPS window, bird’s eye view and 3D scene window simplify the interpretation of data.]

 

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 visualizes 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 recognized by an ECU can be superimposed on the resulting video image. Thus developers can quickly and reliably verify their object recognition algorithms by visually comparing the object information supplied by the sensors or algorithms with the real environment.

 

 

Multi-sensor applications can be efficiently implemented, debugged and tested with vADASdeveloper.

 

Vector has also added ibeo LUX,