Course Schedule

Prerequisites

MATLAB Fundamentals or equivalent experience using MATLAB. Image Processing with MATLAB, Computer Vision with MATLAB and basic knowledge of image processing and computer vision concepts. Deep Learning with MATLAB is recommended.

Automated Driving with MATLAB

This one-day course provides hands-on experience with developing and verifying automated driving perception algorithms. Examples and exercises demonstrate the use of appropriate MATLAB^® and Automated Driving Toolbox^™ functionality.
Topics include:

Labeling of ground truth data
Visualizing sensor data
Detecting lanes and vehicles
Fusing sensor detections
Generating driving scenarios and modeling sensors

See detailed course outline

Prerequisites

Day 1 of 1
Labeling of Ground Truth Data	Objective: Label ground truth data in a video or sequence of images interactively. Automate the labeling with detection and tracking algorithms. Overview of Ground Truth Labeler Label ROIs (Regions of Interest) and scenes Automate labeling View/export ground truth results
Visualizing Sensor Data	Objective: Visualize camera frames, radar and lidar detections. Use appropriate coordinate systems to transform image coordinates to vehicle coordinates and vice versa. Create bird’s eye plot Plot sensor coverage areas Visualize detections and lanes Convert from vehicle to image coordinates Annotate video with detections and lane boundaries
Detecting Lanes and Vehicles	Objective: Segment and model parabolic lane boundaries. Use pretrained object detectors to detect vehicles. Perform bird’s eye view transform Detect lane features Compute lane model Validate lane detection with ground truth Detect vehicles with pretrained object detectors
Fusing Sensor Detections	Objective: Create a multi-object tracker to fuse information from multiple sensors such as camera, radar etc. Track multiple objects Preprocess detections Kalman filters Manage multiple tracks Track with multi-object tracker
Generating Driving Scenarios and Modeling Sensors	Objective: Create driving scenarios and synthetic radar/camera sensor detections interactively to test automated driving perception algorithms. Overview of Driving Scenario Designer Create scenarios with roads, actors and sensors Simulate and visualize scenario Generate detections and export scenarios Test algorithms with scenarios

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

Results 1 - 2 of 2

Dates	Location	Language	Price	Register
24 Oct 2019	China, 北京	Chinese	CNY 3,000
28 Nov 2019	China, 上海	Chinese	CNY 3,000

Results 1 - 2 of 2

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