Day 01 - Introduction on Autonomous Vehicle Design || Pantech eLearning

21 DAYS AGENDA FOR THE MASTERCLASS:
DAY 1 - Introduction to autonomous vehicle and system.
DAY 2 - Sensors in automated vehicle (Camera, Radar, Lidar).
DAY 3 - Visualize sensor coverage, detection and tracks.
DAY 4 - How to model and simulate the output of an automotive vision sensor for different driving scenarios.
DAY 5 - Get started with Ground truth Labeler App-Load ground truth signals to label using MATLAB /Simulink.
DAY 6 - Label ground truth for multiple signals-Ground truth label app MATLAB /Simulink.
DAY 7 - Export and Explore ground truth label for multiple signals using MATLAB Simulink.
DAY 8 - Multiple object tracking using MATLAB Simulink.
DAY 9 - Creating driving scenario programmatically using MATLAB.
DAY 10 - Scenario generation from recorded vehicle data using MATLAB.
DAY 11 - Create Actors and vehicle Trajectories programmatically using Matlab /Simulink.
DAY 12 - Create Actors and vehicle Trajectories using Driving designer app using MATLAB.
DAY 13 - Import Open Street Map Data in to Driving scenario.
DAY 14 - Test open loop Adas algorithm using MATLAB.
DAY 15 - Test closed loop Adas using driving scenario app in MATLAB.
DAY 16 - Simulate vehicle parking maneuver in driving scenario app using Matlab Simulink.
DAY 17 - Adaptive Cruise control using MATLAB Simulink.
DAY 18 - Blind spot detection using MATLAB Simulink.
DAY 19 - Occupant protection and pedestrian protection system using MATLAB Simulink.
DAY 20 - Traffic sign recognition system and speed limit assist using Matlab Simulink.
DAY 21 - Lane departure warning system and 360-degree view system in MATLAB Simulink.

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[pantechelearning]

if you need this kind of project contact this number : 8925533485

[tonycloud]

Very well conducted class and content . Thanks M'am

[_mustafa]

Mam, how we can install matlab offline.