Driver assistance and highly automated driving (HAD) systems must reliably detect the environment. The systems acquire environment data relevant to the driving application through sensors, ranging from a few (like one radar and one camera for an AEB application) to a vast array of functionally different and also redundant sensors.
Especially in the early phases of developing sensor data processing algorithms for ADAS or HAD – among which could be object detection from images or LIDAR point clouds, subsequent classification or multi sensor data fusion routines – it is important to use a tool which allows the developer to efficiently go from a concept to code stage and to quickly evaluate and test such algorithms, as well.
In this webinar you will learn how to use vADASdeveloper for implementing and debugging algorithms for driver assistance and HAD systems. The developer works in C#/C++/C in a Visual Studio environment and can – next to the core algorithm development and debugging at hand – also easily compose further graphical windows for its validation. This can be done using the built-in video view for object overlays or the 3D scene view for visualizing point clouds and other objects in the environment. vADASdeveloper makes vehicle- and sensor-ECU information transmitted on the typical automotive networks/protocols – e.g. CAN, Ethernet/100BaseT1, FlexRay or XCP – easily accessible to the developer of algorithms and also allows to log such information for later replay, debugging and validation.
The webinar gives you an overview on how to access networked devices and map their signals to objects for ongoing object-oriented processing (“SignalToObjectAdapter”). Furthermore it gives an insight into basic components for data processing, data visualization and recording.
Developers/algorithm developers of driver assistance systems, especially in the area of multisensor systems
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Register for a webinar hosted by Vector's partner company BASELABS. You will experience how to use the development framework BASELABS Create to generate a custom data fusion algorithm within 25 minutes by means of configuration and customization.
December 11th, 2018
Generate a custom data fusion algorithm in 25 minutes: Efficient and scalable development of data fusion systems for ADAS & HAD
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