Design and build drones for environmental monitoring and sustainable precision farming (Summer School)

Course ID

T930020101

Course Title

ECTS value

Internal Course Code

XSR-UAS

Responsible study board

Academic Study Board of the Faculty of Engineering

Date of Approval

05-12-2022

Course Responsible

Name	Email	Department
Kamilla Juel Sørensen	kjs@tek.sdu.dk	TEK Uddannelseskoordinering og -support
Preben Hagh Strunge Holm	prebenh@mmmi.sdu.dk	SDU Robotics

Programme Secretary

Name	Email	Department	City
Kim Lundblad Price	klup@tek.sdu.dk	TEK Uddannelse

Offered in

Odense

Level

Bachelor

Offered in

Summer school (spring)

Duration

Intensive course

Mandatory prerequisites

Two years of studies at university level (equivalent to 120 ECTS) within a relevant field of study, before the summer school starts

Experience in Python programming

Recommended prerequisites

Experience in Linux

Experience in basic electronics and embedded systems

Learning objectives - Knowledge

•Value Sensitive Design concept and methodology applied to camera drones.

•Architecture and principal components of multirotor drones and camera payloads.

•Application of simple computer vision algorithms to RGB camera footage captured by a drone

Learning objectives - Skills

•Construction, calibration, and flight testing a basic multirotor drone.

•Interfacing of simple camera payloads.

•Development of simple computer vision algorithms.

•Operation of a multirotor drone while adhering to operating procedures and safety protocols.

Learning objectives - Competences

•Understand the principal requirements and design of drones and payloads for computer vision based applications.

•Participate in finding technical applicable solutions to monitoring drones for environmental monitoring and sustainable precision farming.

Content

This course will teach the basics of computer vision based drones often used in environmental monitoring and sustainable precision farming applications. The students will work in teams of 3-4 on theory and laboratory exercises focusing on value sensitive design, drone hardware and software, computer vision algorithms and drone operations. The exercise results will lead to a mini project where the students will design, construct and operate a multirotor drone and camera payload. The teaching and laboratory exercises as well as the indoor and outdoor flight tests will take place at the Danish national drone test center north of Odense city.

URL for Skemaplan

Odense

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Teaching Method

The course will be experimental with lectures to provide the underlining theory. The students will work in teams of 3-4 on theory and laboratory exercises. The exercise results will lead to a mini project where the students will design, construct and operate a multirotor drone and camera payload.

Time of classes
Two weeks in August

Number of lessons

hours per week

Teaching language

English

Examination regulations

Exam regulations

Name

Exam regulations

Examination is held

At the end of the summer course.

Tests

Exam

EKA

T930020102

Name

Exam

Description

Grading is based on an overall assessment of:

atttendance (80 %)
individual oral examination covering the theory presented in course lectures and the laboratory exercises
laboratory reports

Form of examination

Oral exam

Censorship

Second examiner: Internal

Grading

7-point grading scale

Identification

Student Identification Card - Date of birth

Language

English

ECTS value

Additional exam information

The form of examination in the re-examination is the same as in the ordinary examination except the requirement of 80% attendance which is removed.

Additional information

Enrolment is limited to 24 students. If more applicants than places, applicants who meet the mandatory requirements are prioritised according to the below selection criteria:

Undergraduate and graduate students from partner universities (exchange); international undergraduate and graduate guest students (fee-paying); undergraduate and graduate students from other Danish universities.
Ph.D students from partner universities and other international Ph.D. students; other applicants.

Students are prioritised on a first-come-first-served basis, i.e. according to the time we receive your complete application.

In case a course is filled up, we try to offer you an alternative course from your list of priorities. All final decisions about admission will be sent out continually.

This course is identical with T930011101. Any used examination attempts will be transferred.

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