151-0632-00L Vision Algorithms for Mobile Robotics
Semester | Herbstsemester 2018 |
Dozierende | D. Scaramuzza |
Periodizität | jährlich wiederkehrende Veranstaltung |
Lehrsprache | Englisch |
Kommentar | Number of participants limited to 55 Registration is on a first come, first served basis and SPACE IS LIMITED! |
Lehrveranstaltungen
Nummer | Titel | Umfang | Dozierende | ||||
---|---|---|---|---|---|---|---|
151-0632-00 V | Vision Algorithms for Mobile Robotics **together with University of Zurich** | 2 Std. |
| D. Scaramuzza | |||
151-0632-00 U | Vision Algorithms for Mobile Robotics **together with University of Zurich** | 2 Std. |
| D. Scaramuzza |
Katalogdaten
Kurzbeschreibung | For a robot to be autonomous, it has to perceive and understand the world around it. This course introduces you to the key computer vision algorithms used in mobile robotics, such as feature extraction, multiple view geometry, dense reconstruction, tracking, image retrieval, event-based vision, and visual-inertial odometry (the algorithms behind Google Tango, Ms Hololens, and the Mars rovers). |
Lernziel | Learn the fundamental computer vision algorithms used in mobile robotics, in particular: feature extraction, multiple view geometry, dense reconstruction, object tracking, image retrieval, event-based vision, and visual-inertial odometry (the algorithm behind Google Tango). |
Inhalt | Each lecture will be followed by a lab session where you will learn to implement the building block of a visual odometry algorithm in Matlab. By the end of the course, you will integrate all these building blocks into a working visual odometry algorithm. |
Skript | Lecture slides will be made available on the course official website: Link |
Literatur | [1] Computer Vision: Algorithms and Applications, by Richard Szeliski, Springer, 2010. [2] Robotics Vision and Control: Fundamental Algorithms, by Peter Corke 2011. [3] An Invitation to 3D Vision, by Y. Ma, S. Soatto, J. Kosecka, S.S. Sastry. [4] Multiple view Geometry, by R. Hartley and A. Zisserman. [5] Introduction to autonomous mobile robots 2nd Edition, by R. Siegwart, I.R. Nourbakhsh, and D. Scaramuzza, February, 2011 |
Voraussetzungen / Besonderes | Fundamentals of algebra, geomertry, matrix calculus, and Matlab programming. |
Leistungskontrolle
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
ECTS Kreditpunkte | 4 KP |
Prüfende | D. Scaramuzza |
Form | Sessionsprüfung |
Prüfungssprache | Englisch |
Repetition | Die Leistungskontrolle wird in jeder Session angeboten. Die Repetition ist ohne erneute Belegung der Lerneinheit möglich. |
Prüfungsmodus | mündlich 30 Minuten |
Diese Angaben können noch zu Semesterbeginn aktualisiert werden; verbindlich sind die Angaben auf dem Prüfungsplan. |
Lernmaterialien
Hauptlink | Slides of the course |
Literatur | Computer Vision: Algorithms and Applications, by Richard Szeliski, Springer, 2010. |
Weitere Links | An Invitation to 3D Vision, by Y. Ma, S. Soatto, J. Kosecka, S.S. Sastry. |
Introduction to autonomous mobile robots 2nd Edition, by Siegwart, Nourbakhsh, and Scaramuzza | |
Multiple view Geometry, by R. Hartley and A. Zisserman. | |
Es werden nur die öffentlichen Lernmaterialien aufgeführt. |
Gruppen
Keine Informationen zu Gruppen vorhanden. |
Einschränkungen
Plätze | Maximal 55 |
Warteliste | Bis 28.09.2018 |
Angeboten in
Studiengang | Bereich | Typ | |
---|---|---|---|
Maschineningenieurwissenschaften Master | Robotics, Systems and Control | W | |
Robotics, Systems and Control Master | Kernfächer | W |