MATLAB is a programming language developed by MathWorks that is used for numerical computing tasks including matrix manipulations, data visualizations, and advanced mathematical computations. MATLAB Simulink is a graphical programming environment which, when used together with MATLAB, allows developers and designers to model and test systems. Starts at 1:26 - Using engineering examples, this master class will demonstrate how to define classes and work with objects, highlighting the benefits of thi.

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MATLAB MATLAB is a software package for doing numerical computation. It was originally designed for solving linear algebra type problems using matrices. It’s name is derived from MATrix LABoratory. MATLAB has since been expanded and now has built-in functions for solving problems requiring data analysis, signal.
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In MATLAB environment, every variable is an array or matrix.

You can assign variables in a simple way. For example,

MATLAB will execute the above statement and return the following result −

It creates a 1-by-1 matrix named x and stores the value 3 in its element. Let us check another example,

MATLAB will execute the above statement and return the following result −

Please note that −

Once a variable is entered into the system, you can refer to it later.
Variables must have values before they are used.
When an expression returns a result that is not assigned to any variable, the system assigns it to a variable named ans, which can be used later.

For example,

MATLAB will execute the above statement and return the following result −

You can use this variable ans −

MATLAB will execute the above statement and return the following result −

Let's look at another example −

MATLAB will execute the above statement and return the following result −

Multiple Assignments

You can have multiple assignments on the same line. For example,

MATLAB will execute the above statement and return the following result −

I have forgotten the Variables!

The who command displays all the variable names you have used.

MATLAB will execute the above statement and return the following result −

The whos command displays little more about the variables −

Variables currently in memory
Type of each variables
Memory allocated to each variable
Whether they are complex variables or not

MATLAB will execute the above statement and return the following result −

The clear command deletes all (or the specified) variable(s) from the memory.

Long Assignments

Long assignments can be extended to another line by using an ellipses (...). For example,

MATLAB will execute the above statement and return the following result −

The format Command

By default, MATLAB displays numbers with four decimal place values. This is known as short format.

However, if you want more precision, you need to use the format command.

The format long command displays 16 digits after decimal.

For example −

MATLAB will execute the above statement and return the following result−

Another example,

MATLAB will execute the above statement and return the following result −

The format bank command rounds numbers to two decimal places. For example,

MATLAB will execute the above statement and return the following result −

MATLAB displays large numbers using exponential notation.

The format short e command allows displaying in exponential form with four decimal places plus the exponent.

For example,

MATLAB will execute the above statement and return the following result −

The format long e command allows displaying in exponential form with four decimal places plus the exponent. For example,

MATLAB will execute the above statement and return the following result −

The format rat command gives the closest rational expression resulting from a calculation. For example,

MATLAB will execute the above statement and return the following result −

Creating Vectors

A vector is a one-dimensional array of numbers. MATLAB allows creating two types of vectors −

Row vectors
Column vectors

Row vectors are created by enclosing the set of elements in square brackets, using space or comma to delimit the elements.

For example,

MATLAB will execute the above statement and return the following result −

Another example,

MATLAB will execute the above statement and return the following result −

Column vectors are created by enclosing the set of elements in square brackets, using semicolon(;) to delimit the elements.

MATLAB will execute the above statement and return the following result −

Creating Matrices

A matrix is a two-dimensional array of numbers.

In MATLAB, a matrix is created by entering each row as a sequence of space or comma separated elements, and end of a row is demarcated by a semicolon. For example, let us create a 3-by-3 matrix as −

MATLAB will execute the above statement and return the following result −

You’ve probably seen headlines about innovation in automated driving now that there are several cars available on the market that have some level of self-driving capability. I often get questions from colleagues on how automated driving systems perceive their environment and make “human-like” decisions.

The autonomous car in Figure 1 must locate and classify all the relevant objects on the road (in this case other vehicles) so that it can brake or safely maneuver around vehicles or pedestrians. The system also must detect lane markers in order to center the car within its lane. Deep learning enables machines to detect and classify objects of interest more accurately than people can and is becoming the primary enabling technology for environment perception.

In this post we’ll explain how deep learning is used to solve two common perception tasks for automated driving:

Vehicle detection
Lane detection

We’ll be using MATLAB’s new capabilities for deep learning and GPU acceleration to label ground truth, create new networks for detection and regression, and to evaluate the performance of a trained network.

Vehicle Detection

Object detection is used to locate pedestrians, traffic signs, and other vehicles. In this section we’ll use a vehicle detection example to walk you through how to use deep learning to create an object detector. The same steps can be used to create any object detector. Figure 2 shows the output of a three class vehicle detector, where the detector locates and classifies each type of vehicle.

Before we can start creating a vehicle detector, first we need a set of labeled training data, which is a corpus of images annotated with the locations and labels of objects of interest. More specifically, someone needs to sift through every image or frame of video and label the locations of all objects of interest. This process is known as ground truth labeling. Ground truth labeling is often the most time-consuming part of creating a vehicle detector. Figure 4 shows a raw training image on the left, and the same image with the labeled ground truth on the right.

As you can imagine, labeling a sufficiently large set of training images can be a laborious, manual process. To reduce the amount of time we spent labeling data, we used MATLAB Automated Driving System Toolbox, which provides an app to label ground truth as well as automate part of the labeling process. Figure 4 shows a screenshot of the Ground Truth Labeler app that we use to label training data.

One way to automate pa

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