MEC-E5012 - Vehicle Mechatronics: Control D, Lecture, 2.9.2024-17.10.2024

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

The student
1. can recognise intelligent vehicle functions, ranging from non-autonomous to fully autonomous systems.
2. can design, simulate and implement autonomous vehicle localisation, mapping and navigation.
3. can perceive an intelligent vehicle system as a sum of subsystems and study their functionalities.
4. can work in a team that designs the control and analyses a autonomous miniature vehicle.
5. can evaluate and compare different autonomous vehicle control and performance, including the comparison of own design to scientific state-of-the-art.

Credits: 5

Schedule: 02.09.2024 - 17.10.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jari Vepsäläinen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    Content
    Week - Lecture - Exercises
    1 - Intro, Kinematic models and Longitudinal control - Vehicle modelling & Control Basics
    2 - Lateral Control, Sensor Uncertainty - Lateral Control, Sensor Uncertainty
    3 - ROS Basics and Development - ROS simulation, commands, publishing, subscribing
    4 - ROS Applications - ROS services
    5 - Perception & Control - Perception & Control
    6 - [Project work]
    7 - [Project gala]

Assessment Methods and Criteria

  • valid for whole curriculum period:

    1. Lecture quiz: weight about 20 %
    2. Exercises: weight about 50 %
    3. Project: weight about 30 %
    To pass the course at least 50 % of the points in all three categories much be achieved. The final grade is defined by the sum of points of each categories in respect to the weights given above. Peer evaluation may be used in the course.

Workload

  • valid for whole curriculum period:

    Learning activity: Workload calculation (hours), Remarks
    - Lectures: 6x2h
    - Independent videos: 2h
    - Learning portfolio (learning diary): 6x1h lecture quizzes
    - Computer exercises: 5x10h, Python and MATLAB exercises including 1,5h of contact sessions.
    - Group work (project): 62h, outcome: summary and slides
    - Wrap up (project gala): 3h

DETAILS

Study Material

  • valid for whole curriculum period:

    Course material made on ROS.

    Book recommendation: Automated Driving by Watzenig & Horn

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

    11 Sustainable Cities and Communities

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I
    2025-2026 Autumn I

    Registration:

    Registration for courses will take place on Sisu (sisu.aalto.fi)

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof