Autonomous Vehicle Guidance Systems 4 ENG4175

  • Academic Session: 2018-19
  • School: School of Engineering
  • Credits: 10
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: No

Short Description

This course introduces the concepts behind autonomous vehicle guidance and enables students to design and implement guidance strategies for vehicles incorporating planning, optimising and trajectory generation elements.

Timetable

Two lectures per week

Requirements of Entry

Mandatory Entry Requirements

Intermediate Level MATLAB Programming

Recommended Entry Requirements

Control Theory

Excluded Courses

Autonomous Vehicle Guidance Systems M (ENG5017)

Autonomous Vehicle Guidance Systems 4S

Co-requisites

None

Assessment

100% Examination

Main Assessment In: April/May

Are reassessment opportunities available for all summative assessments? Not applicable

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

Course Aims

This course aims to:

■ introduce students to the concepts behind autonomous vehicle guidance;

■ enable students to design and implement guidance strategies for vehicles incorporating planning, optimising and trajectory generation elements;

■ develop the theory behind trajectory optimisation;

■ introduce the use of graph theory for optimal path planning.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ develop path planning systems for autonomous vehicle guidance;

■ design and implement obstacle avoidance methods within an autonomous guidance regime;

■ implement trajectory optimisation and smoothing for both discrete and continuous paths.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.