EL3105Computer Vision

Academic Year:2023-2024Assessment Introduction:Course:BEng ElectronicEngineeringBEng RoboticEngineeringMEng RoboticEngineeringModule Code:EL3105Module Title:Computer VisionTitle of the Brief:Monocular VisualOdometry with Loop CorrectionType of assessment:AssignmentIntroductionThis Assessment Pack consists of a detailed assignment brief, guidance on what you need to prepare, andinformation on how class sessions support your ability to complete successfully. The tutor responsible forthis coursework will introduce this assignment on Tuesdays 23/01/2023 during computer vision classadditional support for this assignment will be provided during scheduled lab sessions.You’ll also findinformation on this page to guide you on how, where, and when to submit. If you need additional support,please make a note of the services detailed in this document.Submission details; how, when, and where to submit:Assessment Release date: Tuesday,23/01/2024Assessment Deadline Date and time: Tuesday, 26/03/2024Please note that this is the finaltime you can submit–not thetime to submit!You should aim to submit your assessment in advance of the deadline.The Turnitin submission link on Blackboard, will be visible to you on 5/03/2024.Feedback will be provided by: 10/05/2024This assignment constitutes 50% of the total module assessment mark. You should write a report for thisassignment documenting your solutions for the tasks defined in the assignment brief given below. Thereport should include a very shortintroduction describing the problem, description of your adoptedsolutions, a more extensive description of the results and conclusions section summarising the results. Thereport should be approximately 1500 words long, plus relevant materials (References and Appendices).You should use Harvard referencing system for this report. The report should be submitted electronicallyto “Monocular Visual Odometry”Turnitin through BlackboardYou should submit a documented matlab/python code solving the given tasks. The code should be selfcontained, i.e., it should be able to run as it is, without a need for any additional tools/libraries. In case,there are multiple files please create a singlezipcode archive containing all the files. The code should beDisclaimer: The information provided in this assessmentbrief is correct at time of publication. In the unlikely event that any changesare deemed necessary, they will be communicated clearly via e-mail and a new version of this assessmentbrief will be circulated.

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