The objective of this course is to introduce graduate-level engineering students to the fundamentals of autonomous vehicle control, localization, and mapping. This course focuses on those tasks usually carried out by autonomy engineers, including sensor selection, applied control (e.g., trajectory and path following) and navigation techniques for autonomous vehicles that operate in real environments (e.g., construction, warehouses, roadways, mining, etc.). Although the focus in this course is on ground vehicles, the presented methods are also applicable more broadly. The audience is engineers from all relevant engineering and applied science disciplines who have an interest in mobile robotics, applied control and estimation, and robotic vehicle applications. The audience is graduate students from all relevant engineering and applied science disciplines who have an interest in mobile robotics, applied control and estimation, and robotic vehicle applications.
It is strongly recommended that students have taken at least one undergraduate course in control systems engineering (e.g., at Queen’s, MECH 350, ELEC 443, or something similar from elsewhere).
Remote Delivery for Fall 2020 Term
ELEC 845 will be offered by remote delivery (i.e., online) during fall 2020. Lectures will be held online via Zoom at specified times, but will be recorded and subsequently posted online via the course’s onQ site.
Details about the Course
This is a 12-week course that involves both lectures and regular hands-on activities where computer simulation is used to apply and experiment with introduced techniques. Students are also expected to complete and present a significant independent project. The grading scheme comprises 20 % (two assignments), 40 % independent project, 40 % final exam.
Click here to view the fall 2020 project description handout.
The first lecture for the fall 2020 offering of ELEC 845 will take place via Queen’s Zoom on Tuesday September 8 at 2:00 PM ET.
Meeting ID: 963 2402 5286
You must use an authenticated Zoom account to join this lecture (i.e., you cannot just join as an anonymous guest). A Zoom license is available to all Queen’s students for free.
If you missed the first lecture or want to review, here are the slides.
Use the same Zoom meeting ID to join the second lecture on Wednesday September 9 at 8:30 AM ET.