700.370 (13S) Seminar on Pattern Recognition in Intelligent Vehicle Technologies
Overview
- Lecturer
- Course title german Seminar on Pattern Recognition in Intelligent Vehicle Technologies
- Type Seminar (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 11 (20 max.)
- Organisational unit
- Language of instruction English
- Course begins on 01.03.2013
Time and place
List of events is loading...
Course Information
Course content
In the lecture we deal with various aspects of pattern recognition and their applications in Image processing for INTELLIGENT VEHICLES TECHNOLOGIES and ROBOTICS. Different classification methods for both statistical and stochastical approaches will be presented. Comprehensive introductions to Advanced Driver Assistance Systems(ADAS) and to ROBOTICS will be provided.Topics
- * Introduction/Overview to Pattern Recognition
- * Introduction, k-nearest-neighbor
- * k-means, Gaussian distributions, Gaussian classifier
- * Principal components analysis
- * linear regression, pseudo-inverse
- * Fisher linear discriminants
- * Perceptron, Perceptron learning algorithm
- * Multi-layered neural networks, backpropagation
- * Support Vector Machine
- * Applications in Image processing / machine Vision
- * Introduction to ROBOTICS
- * Introduction to Advanced Driver assistance Systems (ADAS)
Teaching objective
* Object detection and recognition * Advanced applications of artificial intelligence (audio/video patterns recognition) * Advanced analysis skills and complex problem solvingLiterature
Data Mining: Practical Machine Learning Tools and Techniques # Publisher: Morgan Kaufmann; 2 edition (June 22, 2005) # Ian H. Witten, Eibe Frank # Language: English # ISBN-10: 0120884070 # ISBN-13: 978-0120884070 Principles of Neuro Computing for Science & Engineering # Fredric M. Ham # Ivica Kostanic # ISBN: 0-07-025966-6 # Publisher: McGraw-Hill George Papadourakis, “Introduction to Neural Networks”, Lecture NotesExamination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Assessment criteria / Standards of assessment for examinations
WrittenGrading scheme
Grade / Grade grading schemePosition in the curriculum
- Bachelor's degree programme Information Technology
(SKZ: 289, Version: 12W.2)
-
Subject: Bachelorarbeit, Studienzweig Ingenieurwissenschaften
(Compulsory subject)
-
Seminar aus dem Bereich Ingenieurwissenschaften (
2.0h SE / 3.0 ECTS)
- 700.370 Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h SE / 4.0 ECTS) Absolvierung im 6. Semester empfohlen
-
Seminar aus dem Bereich Ingenieurwissenschaften (
2.0h SE / 3.0 ECTS)
-
Subject: Bachelorarbeit, Studienzweig Ingenieurwissenschaften
(Compulsory subject)
- Bachelor's degree programme Information Technology
(SKZ: 289, Version: 09W.2)
-
Subject: Bachelorarbeit und Seminar
(Compulsory subject)
-
Seminar (zur Bachelorarbeit) (
2.0h SE / 3.0 ECTS)
- 700.370 Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h SE / 3.0 ECTS)
-
Seminar (zur Bachelorarbeit) (
2.0h SE / 3.0 ECTS)
-
Subject: Bachelorarbeit und Seminar
(Compulsory subject)
- Bachelor's degree programme Information Technology
(SKZ: 289, Version: 06W.1)
-
Subject: Compulsory Elective Courses in Information Technology
(Compulsory elective)
-
Seminar (
2.0h SE / 4.0 ECTS)
- 700.370 Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h SE / 4.0 ECTS)
-
Seminar (
2.0h SE / 4.0 ECTS)
-
Subject: Compulsory Elective Courses in Information Technology
(Compulsory elective)
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Additional Technical Module I
(Compulsory subject)
-
2.3 Lecture with Exercises or Seminar (
2.0h VK/SE / 4.0 ECTS)
- 700.370 Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h SE / 4.0 ECTS)
-
2.3 Lecture with Exercises or Seminar (
2.0h VK/SE / 4.0 ECTS)
-
Subject: Additional Technical Module I
(Compulsory subject)
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Additional Technical Module II
(Compulsory subject)
-
3.1-3.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
- 700.370 Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h SE / 4.0 ECTS)
-
3.1-3.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
-
Subject: Additional Technical Module II
(Compulsory subject)
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Research Track (Methodological focus)
(Compulsory subject)
-
4.2'-4.3' Theoretical methodological courses I/II (
0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
- 700.370 Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h SE / 4.0 ECTS)
-
4.2'-4.3' Theoretical methodological courses I/II (
0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
-
Subject: Research Track (Methodological focus)
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Sommersemester 2024
- 700.370 SE Seminar in LLM (large language models) application for Data Analytics in Intelligent Transportation (2.0h / 3.0ECTS)
-
Sommersemester 2022
- 700.370 SE Seminar on Data Analytics in Intelligent Transportation (2.0h / 3.0ECTS)
-
Sommersemester 2021
- 700.370 VS Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 700.370 VS Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 700.370 SE Seminar on Data Science in Intelligent Transportation (2.0h / 3.0ECTS)
-
Sommersemester 2017
- 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
-
Sommersemester 2016
- 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
-
Sommersemester 2015
- 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
-
Sommersemester 2014
- 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)