ECE 5553
Transcript Abbreviation:
Autonomy in Vehcls
Course Description:
First course on automated driving vehicles & their sub-systems; automated driving history & architectures; car following control; steering control for path tracking and lane keeping; collision mitigation & avoidance; localization & situational awareness; lower & higher level decision making including deep learning; connected vehicle technologies; evaluation of autonomous driving functions.
Course Levels:
Undergraduate (1000-5000 level)
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 3551, 5551, or 551, or Grad standing in Engineering.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 753.02.
Course Goals / Objectives:
Be competent in understanding the history of connected and automated driving, autonomous vehicle architectures, problems, solution approaches and the current state-of-the-art.
Master basic tire force modeling, autonomous vehicle dynamic modeling and path planning and tracking.
Master speed control, car following, connected car following and cooperative driving.
Master collision mitigation and avoidance for autonomous vehicles.
Gain competence in localization and situational awareness based on perception sensors and sensor fusion.
Gain competence in low-level actuator (steer/brake/throttle/shift) control and high-level decision making using rule based (state machine) control and deep learning approaches.
Be familiar with the testing of autonomous vehicles, datasets and automated labeling, and legal and ethical issues.
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Introduction and history of autonomous vehicles including challenges. | 3.0 | 0.0 | 0.0 | 0 |
| Autonomous vehicle architectures. | 3.0 | 0.0 | 0.0 | 0 |
| Introduction to tire and vehicle modeling for automated driving. | 4.0 | 0.0 | 0.0 | 0 |
| Review of control system design | 3.0 | 0.0 | 0.0 | 0 |
| Automation of longitudinal motion. Cruise Control, Adaptive Cruise Control, Cooperative Adaptive Cruise Control. Cooperative Driving. | 4.0 | 0.0 | 0.0 | 0 |
| Automation of lateral motion. Path following control. Lane keeping. | 5.0 | 0.0 | 0.0 | 0 |
| Collision free path planning and collision avoidance. | 4.0 | 0.0 | 0.0 | 0 |
| Localization and situational awareness. Estimation and sensor fusion. | 4.0 | 0.0 | 0.0 | 0 |
| Decision making. State diagrams. Deep learning. | 3.0 | 0.0 | 0.0 | 0 |
| Testing of autonomous vehicles. Datasets and automated labeling. Legal and ethical issues. | 3.0 | 0.0 | 0.0 | 0 |
| Connected vehicle applications. Fuel economy through connected and automated driving. | 3.0 | 0.0 | 0.0 | 0 |
| Total | 39 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework | 40% |
| Midterm exams | 30% |
| Final project/exam | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Autonomous Ground Vehicles | U. Ozguner, T. Acarman, K. Redmill |
ABET-CAC Criterion 3 Outcomes
(N/A)
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Substantial contribution (3-6 hours) | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| 2 | Substantial contribution (3-6 hours) | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| 3 | Some contribution (1-2 hours) | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| 4 | Some contribution (1-2 hours) | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| 5 | Some contribution (1-2 hours) | an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |
| 6 | Substantial contribution (3-6 hours) | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| 7 | Substantial contribution (3-6 hours) | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)