Autonomous Systems
PDF Course Catalog Deutsche Version: ATS
Version: 1 | Last Change: 25.09.2019 12:20 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
Long name | Autonomous Systems |
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Approving CModule | ATS_BaET, ATS_BaTIN |
Responsible |
Prof. Dr. Chunrong Yuan
Professor Fakultät IME |
Valid from | summer semester 2023 |
Level | Bachelor |
Semester in the year | summer semester |
Duration | Semester |
Hours in self-study | 69 |
ECTS | 5 |
Professors |
Prof. Dr. Chunrong Yuan
Professor Fakultät IME |
Requirements | Capability of algorithm analysis and implementation Knowledge of signal processing and mathematics Capability of software and project development Basic knowledge of embedded software |
Language | German and English |
Separate final exam | Yes |
Hertzberg: Mobile Roboter: Eene Einführung aus Sicht der Informatik, Springer Vieweg, 2012 |
Details | Oral exam, with the option of written examination if necessary (e.g.: in case of a large number of participants) |
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Minimum standard | At least 50% with correct answers |
Exam Type | EN mündliche Prüfung, strukturierte Befragung |
Goal type | Description |
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Knowledge | Sensors Wheel/motor sensors Heading sensors Positioning sensors Cameras Locomotion Wheeled mobile robots Legged mobile robots Data processing and feature extraction Edge detection Line extraction Point detection and description Recognition and Modelling Object detection Place recognition 3D motion and structure estimation Navigation Localization Mapping Path planning |
Type | Attendance (h/Wk.) |
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Lecture | 2 |
Tutorial (voluntary) | 0 |
none |
Accompanying material | Lecture slides |
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Separate exam | No |
Goal type | Description |
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Skills | Teamwork: Development of systems with intelligent behaviours for autonomous interpretation of sensor data and real-time robot control. The goal is to realize prototypes with the required functions. |
Type | Attendance (h/Wk.) |
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Practical training | 0.5 |
Tutorial (voluntary) | 0 |
none |
Accompanying material |
Documents with task descriptions as well as instructions on project implementation development tools and examples |
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Separate exam | Yes |
Exam Type | EN Projektaufgabe im Team bearbeiten (z.B. im Praktikum) |
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Details | Evaluation of the achieved results based on presentations, live demonstrations, discussions as well as documentations in form of texts, source codes, graphic illustrations and video clips |
Minimum standard | On-schedule delivery, presentation and demonstration of the realized systems according to task descriptions. |
Goal type | Description |
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Skills | Sensor characterization Feature extraction Image matching and clustering Image based place recognition Motion analysis Programming of robot behaviour |
Type | Attendance (h/Wk.) |
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Exercises (whole course) | 1 |
Exercises (shared course) | 1 |
Tutorial (voluntary) | 0 |
Be prepared to use Python and install all the necessary software tools on one's own laptop |
Accompanying material |
Practical exercises Example programs |
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Separate exam | No |
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