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  • DriveWorks SDK Reference
    5.20.37 Release
    For Test and Development only

    All Data Structures Namespaces Files Functions Variables Typedefs Enumerations Enumerator Macros Modules Pages
    Modules

    The NVIDIA® DriveWorks SDK includes the following modules.

    Core

    Module Description
    Core Provides features for most applications, including context handles, system/platform information, and memory management.

    Sensor Abstraction Layer (SAL)

    Module Description
    Sensors Accesses sensors by utilizing a hardware abstraction layer.

    Vehicle and Motion Actuation

    Module Description
    Rig Configuration Reads and enumerates pre-calibrated car and sensor properties.
    VehicleIO Actuates the vehicle and provides information regarding its current state.

    Image Processing

    Module Description
    Image Performs image abstractions, streamers, and format conversions.
    Image Transformation Provides scaling utilities.
    Camera Color Correction Adjusts the image color captured from cameras to match a reference camera's statistical properties.
    Connected Components Applies unique labels for connected components in a grey scale input image.
    Rectifier Projects images acquired from an input camera model to an output camera model.
    Features Provides feature detection utilities.
    Features Provides feature list utilities.
    Filtering Provides a Gaussian pyramid image representation.
    BoxTracker2D Detects and tracks 2d bounding boxes between frames from an input camera.
    Feature Tracker Detects and tracks feature points between frames from an input camera.
    Tracking Tracks templates between frames from an input camera.
    Stereo Provides stereo rectification for images acquired from a calibrated stereo camera. It also estimates the disparity between two rectified images on a confidence map.
    Structure from Motion (SFM) Reconstructs the 3D structure of a scene given a moving camera rig.

    Point Cloud Processing

    Module Description
    Point Cloud Processing Provides algorithms for low level point cloud processing.

    Deep Neural Network (DNN) Framework

    Module Description
    Data Conditioner Provides image pre-processing functionalities to modify the network input format.
    DNN Runs inference on pre-trained deep neural networks.
    Clusterer Implements a DBSCAN data clustering algorithm to group bounding boxes with similar properties.

    Calibration

    Module Description
    Intrinsic Camera Models Initializes camera models to provide pixel-to-ray and ray-to-pixel transformations.
    Self-Calibration Correction of nominal calibration based on up-to-date sensor readings. It supports cameras, IMUs, Radars, Lidars, and Steering.
    Egomotion Tracking and prediction of a vehicle's pose, based on a motion model.

    Communication

    Module Description
    IPC Provides inter-process communication between various platforms.

    Utility

    Module Description
    Renderer View renderer for primitives and projections.
    Note
    For detailed instructions on utilizing these modules, please refer to the Tutorials.
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