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Exemplary Workflow with BASELABS Create Embedded

Data Fusion Library for NVIDIA DRIVE Platforms

The NVIDIA DRIVE platform offers several hardware and software features that support the development of automated driving functions. The software library BASELABS Create Embedded allows for the fast and efficient development of Level 2 ADAS and automated driving functions, such as AEB, ACC and Highway Pilot. With the software data fusion algorithms are seamlessly developed and executed on the DRIVE platforms.

  • Typical data fusion result of BASELABS Create Embedded. The data fusion combines detections and objects from all configured sensors to provide a unified object list of the vehicle’s surrounding. For each object, quantities like position, velocity, and class are determined. The data fusion eliminates individual sensor weaknesses like limited lateral or longitudinal accuracy, limited detectability or false positives. The resulting data fusion system integrates for the NVIDIA DRIVE platform.
    Typical data fusion result of BASELABS Create Embedded. The data fusion combines detections and objects from all configured sensors to provide a unified object list of the vehicle’s surrounding. For each object, quantities like position, velocity, and class are determined. The data fusion eliminates individual sensor weaknesses like limited lateral or longitudinal accuracy, limited detectability or false positives. The resulting data fusion system integrates for the NVIDIA DRIVE platform.
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Many modern driving functions depend on AI and deep learning methods whose results are often fed into a data fusion. While AI-based methods require extensive parallelization and therefore often run on GPUs, object fusion can be sequentially executed on CPUs. With the support of the ARM CPU family, the object fusion of BASELABS Create Embedded runs on the ARM part of NVIDIA DRIVE platforms.

BASELABS Create Embedded is a software solution for the fast and efficient development of data fusion systems for automated driving functions. Its embedded library contains fusion algorithms that combine data from radar, camera, and lidar sensors. The resulting object fusion provides a unified object list of the vehicle environment and serves as an input for automated driving functions.

  • A typical development workflow in combination with the NVIDIA DRIVE platform would start by recording some measurement data using ROS. Then, with the data fusion designer of BASELABS Create Embedded, all sensors are individually configured and a specific sensor fusion system or library is generated including an appropriate ROS node. The resulting C library and the ROS node (C++) are compiled for PC and the NVIDIA DRIVE platform. The sensor fusion ROS node is now integrated into a larger application that performs additional processing steps such as path planning or decision making. The final ROS application can be executed on PC including diagnostics and visualization functionality or on NVIDIA DRIVE platforms - with recorded measurement data from ROSbag files or with physically connected sensors.
    A typical development workflow in combination with the NVIDIA DRIVE platform would start by recording some measurement data using ROS. Then, with the data fusion designer of BASELABS Create Embedded, all sensors are individually configured and a specific sensor fusion system or library is generated including an appropriate ROS node. The resulting C library and the ROS node (C++) are compiled for PC and the NVIDIA DRIVE platform. The sensor fusion ROS node is now integrated into a larger application that performs additional processing steps such as path planning or decision making. The final ROS application can be executed on PC including diagnostics and visualization functionality or on NVIDIA DRIVE platforms - with recorded measurement data from ROSbag files or with physically connected sensors.
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  • Develop custom data fusion algorithms with the graphical data fusion designer
  • Use built-in sensor models for typical automotive sensors, e.g. camera & radar
  • Implement custom sensor models with the data fusion SDK
  • Get MISRA compliant, numerically stable and human-readable C-source code
  • Use the data fusion designer to configure, customize, and parameterize radar, camera and, lidar sensors of your vehicle setup. A specific object fusion library is generated from this configuration that integrates into any C/C++ application or middleware.
    Use the data fusion designer to configure, customize, and parameterize radar, camera and, lidar sensors of your vehicle setup. A specific object fusion library is generated from this configuration that integrates into any C/C++ application or middleware.
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  • Automated ROS integration and ROS node generation 
  • Execute the data fusion algorithm on NVIDIA DRIVE platforms
  • Built-in data fusion visualization 
  • Set parameters during design-time and at runtime
  • Generate data fusion ROS nodes with BASELABS Create Embedded in seconds and integrate these ROS nodes into your application.
    Generate data fusion ROS nodes with BASELABS Create Embedded in seconds and integrate these ROS nodes into your application.
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  • BASELABS Create Embedded

    A library for the development of embedded data fusion systems for automated driving functions.

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