Autonomous Vehicle Guidance Systems ENG5017
- Academic Session: 2018-19
- School: School of Engineering
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Available to Erasmus Students: No
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.
Teaching Sessions: 1 hour, twice per week
Requirements of Entry
Mandatory Entry Requirements
Intermediate Level MATLAB Programming
Recommended Entry Requirements
Main Assessment In: April/May
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 attend the degree examination and submit at least 75% by weight of the other components of the course's summative assessment.
Students must attend the timetabled laboratory classes.
Students should attend at least 75% of the timetabled classes of the course.
Note that these are minimum requirements: good students will achieve far higher participation/submission rates. Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.