Image Processing

Department
  • Bachelor's program Mechatronics
Course unit code
  • MECH-B-5-MRV-IMP-ILV
Number of ECTS credits allocated
  • 5.0
Name of lecturer(s)
  • McGuiness Daniel, PhD
Mode of delivery
  • face-to-face
Recommended optional program components
  • none
Recommended or required reading
  • - Siegwart, Roland, Illah Reza Nourbakhsh, and Davide Scaramuzza "Introduction to autonomous mobile robots" MIT press, 2011.
    - Nikolaus Correll, Bradley Hayes, Christoffer Heckman and Alessandro Roncone. Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms, MIT Press, 2022 (forthcoming).
    - Ullrich, G., Fahrerlose Transportsysteme: Eine Fibel - mit Praxisanwendungen - zur Technik - für die Planung, Springer, 2019
Assessment methods and criteria
  • Modul exam
Level of course unit
  • Bachelor
Year of study
  • Fall 2025
Semester when the course unit is delivered
  • 5
Language of instruction
  • English
Learning outcomes of the course unit
  • Students:
    Know
    o Fields of application as well as advantages and disadvantages of different autonomous robot systems
    o Areas of application of autonomous robot systems in industrial Intralogistics
    o Potential areas of application, advantages and limitations
    o The basics of industrial image processing systems
    Have basic knowledge of techniques in autonomous mobile robotics:
    o Hardware and sensors
    o Image processing
    o Object recognition methods
    o Localization, Mapping and SLAM
    o Landmark Detection
    o Path Planning
    Are able to:
    o Implement applications for autonomous mobile robotics
    o Implement applications for industrial image processing
    o capture requirements of a projected mobile robot system
    o recognize potential and limitations of systems
    o select suitable hardware/software
Course contents
  • • Vision systems
    o Hardware
    o Sensors
    • Data evaluation
    • Feature extraction and object recognition
    • Simulation
    • Mapping & Navigation
Planned learning activities and teaching methods
  • The course comprises an interactive mix of lectures, discussions and individual and group work.
Work placement(s)
  • none

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