Tool simplifies multi-sensor application development

Providing the infrastructure needed to develop algorithms for ADAS, vADASdeveloper allows users to quickly and conveniently develop, debug and test multi-sensor applications. When developing algorithms, the tool can acquire, visualise and replay the data of all commonly used ADAS sensor types, from cameras to laser scanners, time synchronous to the bus messages.

Featuring a graphically configured data flow with a clearly arranged layout, the application's integrated Visual Studio enables users to implement, debug and test the application in one tool. vADASdeveloper lets users can develop data fusion systems quickly, efficiently and flexibly with a range of implementable applications from object recognition by image processing of sensor data to sensor data fusion, e.g. for multiple object tracking, as well as ADAS functionality that is based on environment perception. The tool is also well suited to the tasks of testing and evaluating prototype systems.

Developers are provided with additional useful features for configuring and implementing signal processing algorithms in data fusion by the modular 'BASELABS Create' algorithm library, which can be seamlessly integrated. Other modules from C/C++ or MATLAB/Simulink can be embedded easily. BASELABS Create can be obtained directly from BASELABS.

Adopting BASELABS' tool into its own tool chain, Vector supports the entire development process for ADAS systems. While vADASdeveloper focuses on system development, the CANape 'Driver Assistance' option is used for the necessary validation of object recognition algorithms in the vehicle. CANape can be used to calibrate and validate the ECU while the algorithm is running in it. The VX1000 measurement and calibration hardware enables quick access to (sensor) data from the ECU at rates of up to 30MB/s. The Vector AUTOSAR basic software MICROSAR offers many functions that support specific requirements in the development of ADAS ECUs.