How Long to Read An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle

How Long Does it Take to Read An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle?

It takes the average reader 2 hours and 51 minutes to read An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle by Khaled Ahmed Morsy

Assuming a reading speed of 250 words per minute. Learn more

Description

The problem discussed in this dissertation is the development of an efficient method for visual navigation of autonomous vehicles. The approach is to significantly reduce the expensive computational time of landmark detection by straight-edge features. A novel, fast straight-edge-detection method for use in autonomous vehicle navigation and other image-understanding applications is presented. Straight edges in gray-scale images are detected using a new direction-control1ed edge tracking method, which gives precise estimate of the endpoints. To significantly reduce the number of exhaustive pixel computations, a random-hitting method using a pseudo-random number generator is proposed. Only if a generated pixel is significant do we start tracking the edge containing that pixel. To overcome the "noisy" gradient direction information, a robust least-squares linear fitting method is used to control the tracking process. The results of the algorithm show how it is efficient for landmark detection, which is important for motion control of autonomous vehicles. Thus the new method is implemented as a component of the image-understanding system in the autonomous mobile robot Yamabico-11 at the Naval Postgraduate School. An efficient world- modeling method based on the 2D model of the environment of the vehicle, including the heights of vertical edges in the environment, is presented. This modeling method is implemented with the new edge-detection method to improve the efficiency of the pose-determination algorithm (pose is a combination of the position and orientation of the camera), which is an essential task in the area of autonomous vehicle navigation.

How long is An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle?

An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle by Khaled Ahmed Morsy is 167 pages long, and a total of 42,919 words.

This makes it 56% the length of the average book. It also has 52% more words than the average book.

How Long Does it Take to Read An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 54 minutes to read An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle aloud.

What Reading Level is An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle?

An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle?

An Efficient Model-Based Image Understanding Method for an Autonomous Vehicle by Khaled Ahmed Morsy is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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