Objective:
A robotic system needs an awareness of its context, i.e. objects and people in its vicinity. To this end, this course will teach the students how to use computer vision and pattern recognition methods to estimate the type of objects in the surroundings and the whereabouts of people nearby.
Must be able to analyse a specific problem within mobile robotics and based upon this select, implement and evaluate an appropriate computer vision approach
See the general description of the types of instruction described in § 17.
Name of exam | Advanced Robotic Perception |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Danish title | Avanceret robot perception |
Module code | MSNROBK1231 |
Module type | Course |
Duration | 1 semester |
Semester | Autumn
|
ECTS | 5 |
Language of instruction | English |
Empty-place Scheme | Yes |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Education owner | Master of Science (MSc) in Engineering (Robotics) |
Study Board | Study Board of Media Technology |
Department | Department of Architecture, Design and Media Technology |
Faculty | The Technical Faculty of IT and Design |