These intermediate tutorials are intended for users already familiar with DriveWorks and are able to build simple applications.
This is a deep dive into most of the functionalities provided, including image and point cloud processing, Deep Neural Networks (DNN) usage,
egomotion and self-calibration.

Sensor Management

Tutorial	Description
Sensor Manager Workflow	Accessing time-sorted stream of events from an aggregate set of sensors.

Modules used: Core | Sensors | Grouping camera sensors | Rig Configuration.

Image Processing

Tutorial	Description
Image Creation and Conversion	Creating and converting images into different formats.
image_usecase6	Initializing a dwImage using pixel data from PNG file.
Image Scaling	Scaling images.
Image Streamer	Your first image streamer.
Image Streamer Multi-Thread	Streaming images between threads.
Image Streamer Cross-Process	Streaming images across processes.
Image Capture	Capturing images from screen.
Camera Color Correction Workflow	Adjusting Color Distribution.
Connected Components Workflow	Applying Component Labeling to Grey Scale Images.
Rectifier Workflow	Converting images to a different camera model.
Single Camera Feature Tracking	Tracking features across frames.
Single Camera Template Tracking	Tracking the position and size of features across frames.
2D Box Tracking	Tracking 2D bounding boxes across frames.
Disparity Computation Workflow	Computing a disparity map from a pair of stereo images.
Disparity Computation Workflow on PVA and NVENC	Computing a disparity map from a pair of stereo images on PVA and NVENC.
Structure from Motion (SFM) Workflow	Estimating the structure of a scene from camera frames.
Pose estimation	Determines camera pose using PnP pose estimator.

Point Cloud Processing

Tutorial	Description
Point Cloud Memory Management	Allocating and freeing memory for low level point cloud processing.
Point Cloud Accumulator	Accumulating Lidar spins.
Point Cloud Stitching	Combining multiple point clouds in the a common coordinate system.
Point Cloud Range Image Creation	Generating 2D images from accumulated point clouds.
Point Cloud ICP	Aligning 3D points from a pair of Lidar spins.
Point Cloud Plane Extraction	Estimating a 3D plane from a point cloud.
Point Cloud Filter	Point cloud filter.

Modules used: Point Cloud Processing.

Vehicle Actuation

Tutorial	Description
VehicleIO Workflow	How to actuate a vehicle.
Relative Egomotion Workflow	How to track and predict a vehicle's pose.

Modules used: VehicleIO | Egomotion

Self-Calibration

Tutorial	Description
Ray-to-Pixel and Pixel-to-Ray	How to perform Ray-to-Pixel and Pixel-to-Ray transformations.
Feature-based Camera Self-Calibration	A complete workflow detailing camera self-calibration.
IMU Self-Calibration	A complete workflow detailing IMU self-calibration.
Lidar Self-Calibration	A complete workflow detailing Lidar self-calibration.
Radar Self-Calibration	A complete workflow detailing Radar self-calibration.
Epipolar-based Stereo Self-Calibration	A complete workflow detailing epi-polar based stereo self-calibration.
Vehicle Self-Calibration	A complete workflow detailing steering system properities self-calibration.

Modules used: Intrinsic Camera Models | Self-Calibration.

Deep Neural Networks (DNN)

Tutorial	Description
Data Conditioner Workflow	Formatting your data.
DNN Workflow	The DriveWorks DNN framework.
DNN Tensors	DNN inference using tensors.
DNN with Safe DLA	DNN inference using safe DLA.
Clusterer Workflow	A DBSCAN implementation.

Modules used: DNN | Data Conditioner | Clusterer