Autonomous Driverless Car Application Development Report

The professional report generated in the assignment should be around 2000 words. The assignment should be your own work and written in your own words, and any information taken from other resources should be referenced. It will be checked for plagiarism using Turnitin. Any plagiarism or copying from others will be dealt with through the university’s plagiarism procedures.

Your assignment must be submitted electronically via BlackBoard (Assignments tab) by the submission time. The report should be contained in a Word document or PDF No other means of submission will be accepted. The software code will be submitted independently.

Any assignment submitted late but within 5 working days of the deadline will be given a maximum mark of 50%. Assignments submitted more than 5 working days after the deadline will not be marked, and a mark of 0% will be recorded.

Learning Outcome to be assessed:

1 Comprehensive understanding of the scientific principles and concepts relevant to and Intelligent Machines engineering

2 Awareness of relevant regulatory requirements governing engineering activities in the context of Intelligent Machines engineering

3 Apply and investigate new and emerging technologies

4 Plan self-learning and improve performance, as the foundation for lifelonglearning

Task:

‘BlueBird Electric` is an electronic company that develops diverse types of innovative autonomous robotic units for different industries to support a wide range of systems. One of BlueBird Electric's future objectives is to be a leading company on autonomous technologies, mainly on autonomous driverless cars.

As an engineer in the ‘BlueBird Electric’ company, you have been asked to develop an autonomous driverless car application. You can use any programming language you are comfortable with. In this manner:

Provide a detailed, professional report for your company that contains the following:

1-A review/insight of

i)Describe different machine learning methods that had been utilized in the AV navigation,

ii)What is the advantage that the reinforcement has over the other machine learning techniques that made it a potential AV navigation method?

iii)How the AV will be integrated into the smart city will utilize the available updated data during navigation.

iv)The smart parking system is a potential application in the smart city. Describe its operation and discuss its integration in the era of AV.

2-Development of a DL application that satisfies/includes the following features:

i.Build a YOLO version2 (for specifying detected objects with bounding boxes) or use a provided MATLAB code.

ii.An image pre-trained model should be fine-tuned to be trained for car boundary detection. The theoretical background for each command, like anchor boxes, etc., must be included.

iii.Provide the necessary code to test your model with a camera as a sensor (computer vision),

iv.Provide a practical method to calculate a relative distance of the next car that the model can detect and report it on the generated annotated video.

v.Provide driving information as a speech output along with the bounding box for the detected objects on camera images like distance of the closest vehicle,

vi.The software algorithm is required to detect road lanes drawn by white lines while performing other tasks, which requires multi-threaded programming,

3-Suggest smart city applications that could benefit the AV system such that it can improve navigation and reduce incidences using intelligent machine techniques. Use block diagrams to describe the functionality of each element that you can use.

Assessment Criteria

The Department’s Principles of Assessment will be used to determine grading levels.

A review/insight of:

Describe different machine learning methods that had been utilized in the AV navigation,

What is the advantage that the reinforcement has over the other machine learning techniques that made it a potential method in AV navigation?

How the AV will be integrated in smart city such that it will utilize the available updated data during navigation. 10

Smart parking system is a potential application in smart city, describe its operation and discuss its integration in the era of AV.