Advanced Image Processing Applications in Robotics

Course title

1M516600

Course content

This subject focuses related technologies regarding the application of image processing on robotics. The main contents are as below.
・Basic image processing and object detection from images.
・Image processing by hardware.
・Camera based system design.

Purpose of class

Camera based systems have been applied in robotics, car electronics and so on. Generally, these systems have been designed to make actions following the results from on-board camera image processing. This subject is to grant knowledge of designing these kinds of camera based systems.

Goals and objectives

Understanding basics of image processing and object detection
Experiencing image processing by Raspberry pi hardware
Experiencing system design by Raspberry pi hardware and a camera and various sensors

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1．	Guidance	Searching the structure of a digital image	200minutes
2．	Basics of image processing 1 ・Digital image strucuture ・Grayscalling ・Binarization	C++，Python	200minutes
3．	Basics of image processing 2 ・Average filter ・Median filter ・Gaussian filter	C++，Python	200minutes
4．	Object detection from image 1 ・Edge detection ・Line detection ・Circle detection	C++，Python	200minutes
5．	Object detection from image 2 ・Usage of open CV ・Object detection using open CV	C++，Python	200minutes
6．	Explanation of Raspberry Pi ・Usage as a general computer ・Application to system design	C++，Python	200minutes
7．	Signal processing by Raspberry Pi 1 ・LED blinking circuit design ・Various sensor signal processing	Python	200minutes
8．	Signal processing by Raspberry Pi 2 ・Various sensor signal processing	Python	200minutes
9．	Image processing with Raspberry Pi designated camera 1 ・Camera setting ・Processing images from designated camera	Python	200minutes
10．	Image processing with Raspberry Pi designated camera 2 ・Usage of open CV designated camera	Python	200minutes
11．	System design using Raspberry Pi designated camera 1 ・ Systems to make actions following the results from the camera image processing 1	Python/Electrical circuits	200minutes
12．	System design using Raspberry Pi designated camera 2 ・ Systems to make actions following the results from the camera image processing 2	Python	200minutes
13．	System design using Raspberry Pi designated camera and various sensors ・Camera-sensor integrated system design	Python/Electrical circuits	200minutes
14．	・Presentation ・Final report	Presentation	100minutes
Total.	-	-	2700minutes

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Main evaluation is conducted on final report	Total.
1.	30%	30%
2.	30%	30%
3.	40%	40%
Total.	100%	-

Evaluation method and criteria

Assignment:60%, Final report 40%
Pass mark: 60

Textbooks and reference materials

Will be announced later

Prerequisites

Python，Basic electrical circuits
Students have to prepare own Raspberry pi hardware．

Office hours and How to contact professors for questions

Mail to: chintaka@sic.shibaura-it.ac.jp
Office hours: 10.40am-12.40pm Tuesday

Relation to the environment

Non-environment-related course

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge

Active-learning course

Most classes are interactive

Last modified : Wed Oct 17 08:03:37 JST 2018