ENG09026 2017 Environment Detection

General Details

Full Title
Environment Detection
Transcript Title
Environment Detection
Code
ENG09026
Attendance
N/A %
Subject Area
ENG - Engineering
Department
MENG - Mech. and Electronic Eng.
Level
09 - NFQ Level 9
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2017 - Full Academic Year 2017-18
End Term
9999 - The End of Time
Author(s)
Shane Gilroy
Programme Membership
SG_ECONN_M09 201800 Master of Engineering in Connected and Autonomous Vehicles SG_ESENS_E09 201800 Certificate in Sensors for Autonomous Vehicles SG_ECONN_O09 201800 Postgraduate Diploma in Engineering in Connected and Autonomous Vehicles
Description

This module investigates the physical and technical foundations, strengths and weaknesses of sensors for advanced driver assistance systems and their applications in environment detection in automotive vehicles.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Assess optical radiation, radiometric and photometric quantities.

2.

Explain the physical and technical foundations of visible and infrared spectrum camera systems and their role in the automotive environment.

3.

Summarise the functional characteristics and properties of modern Lidar, Radar, Ultrasonic and other relevant sensor systems and their applications in environment detection.

4.

Evaluate the strengths and weaknessess of sensing technologies for specific applications in autonomous vehicles.

5.

Select and develop suitable detection systems for specific applications in the automotive environment.

Teaching and Learning Strategies

This module will be delivered via a mixture of Lectures and Research Assignments

Module Assessment Strategies

An end of semester written exam and two assignments will be given to assess the module.

The assignments will be designed in such a way as to familiarise the student with the skills of understanding an engineering issue; reviewing literature for multiple solutions; comparing and contrasting those solutions and then communicating their conclusions coherently.


The student is required to pass both the assessment and written exam elements of this module.

Repeat Assessments

Repeat project work and exams can be submitted at the repeat exam series each year.

Indicative Syllabus

Light, polarisation, radiometry, human vision, sources of optical radiation, photodetectors, time of flight methods for optical surround detection (LO1, LO2, LO3)


CCD and CMOS Image sensor technologies, monocular and stereo camera systems, depth perception, visible and infrared camera technologies and applications in environment detection (LO2, LO3)


Functional characteristics of Lidar, Radar, Ultrasonic, MEMs and other relevant sensing technologies (LO3)


Sensor applications, strengths and weaknesses for multiple use cases in automotive environment detection (LO4, LO5)

 

Noise and occlusion handling, calibration (LO3, LO4, LO5)


Novel and future sensing technologies (LO2, LO3, LO4, LO5)

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
60 %
End of Semester / Year Formal Exam
40 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Assignment 1 Continuous Assessment Assignment 30 % Week 5 2,3,4
2 Assignment 2 Continuous Assessment Assignment 30 % Week 10 5
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Final Exam Assessment 40 % End of Semester 1,2,5
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Lecture Theatre Lecture 2 Weekly 2.00
Laboratory Practical Not Specified Practical 1 Weekly 1.00
Independent Learning Not Specified Independent Learning 7 Weekly 7.00
Total Full Time Average Weekly Learner Contact Time 3.00 Hours

Online Learning Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Not Specified Weekly Lecture 1 Weekly 1.00
Independent Learning Not Specified Independent Learning 8.5 Weekly 8.50
Laboratory Practical Not Specified Practical 0.5 Weekly 0.50
Total Online Learning Average Weekly Learner Contact Time 1.50 Hours

Required & Recommended Book List

Recommended Reading
2011-05-30 CMOS/CCD Sensors and Camera Systems SPIE Press
ISBN 0819486531 ISBN-13 9780819486530
Recommended Reading
2017-03-31 Computer Vision in Vehicle Technology: Land, Sea, and Air Wiley-Blackwell
ISBN 1118868072 ISBN-13 9781118868072

Computer Vision In Vehicle Technology: Land, Sea, And Air BY Antonio M. Lopez, Atsushi Imiya, Tomas Pajdla And Jose M. Alvarez, John Wiley, Hardcover, 2017

Recommended Reading
2017-10-25 Creating Autonomous Vehicle Systems (Synthesis Lectures on Computer Science) Morgan & Claypool Publishers
ISBN 1681730073 ISBN-13 9781681730073
Recommended Reading
2017-10-26 Fahrerassistenzsysteme 2017: Von der Assistenz zum automatisierten Fahren - 3. Internationale ATZ-Fachtagung Automatisiertes Fahren (Proceedings) (German Edition) Springer Vieweg

Die inhaltlichen Schwerpunkte des Tagungsbands zur ATZlive-Veranstaltung Fahrerassistenzsysteme 2017 liegen unter anderem auf neuen Entwicklungen zum automatisierten Fahren. In Verbindung mit der Elektrifizierung und Vernetzung der Fahrzeuge entstehen neue Elektrik-/Elektronik-Architekturen und flexible Software-Plattformen. Weitere Themen sind z. B. neue Fahrerassistenzsysteme fr Premium-Pkw, Brems- und Ausweich-Assistenten fr Lkw und hochauflsende digitale Straenkarten.

Recommended Reading
2011-10-07 Handbuch Fahrerassistenzsysteme: Grundlagen, Komponenten und Systeme fr aktive Sicherheit und Komfort (ATZ/MTZ-Fachbuch) Vieweg+Teubner Verlag
ISBN 3834814571 ISBN-13 9783834814579

Module Resources

Journal Resources

IEEE Transactions on Intelligent Transportation Systems

URL Resources

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Other Resources

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Additional Information

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