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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
TME192 - Active safety  
 
Syllabus adopted 2014-02-24 by Head of Programme (or corresponding)
Owner: MPAUT
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Automation and Mechatronics Engineering, Bioengineering, Computer Science and Engineering, Electrical Engineering, Information Technology, Mechanical Engineering, Engineering Physics
Department: 42 - APPLIED MECHANICS


Teaching language: English
Block schedule: C

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0113 Written and oral assignments 3,5c Grading: TH   3,5c    
0213 Examination 4,0c Grading: TH   4,0c   30 Oct 2014 pm H   05 Jan 2015 pm M,  Contact examiner

In programs

MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 1 (compulsory elective)
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 2 (elective)
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 2 (elective)

Examiner:

Docent  Marco Dozza
Doktor  Jonas Bärgman


Replaces

TME191   Advanced active safety


Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

BSc in Engineering, i.e. Mathematics, Physics and Matlab programming
Vehicle and Traffic safety recommended

Aim

The objective of this course is to provide the students with insights on the design and evaluation of active safety systems both from an industrial and from a research field point of view. In this course, the focus will be on the current challenges and recommendations for the development of active safety systems. This course consists of four parts: accidents analysis, safety system requirements & design, human factors and active safety evaluation.

Learning outcomes (after completion of the course the student should be able to)

- Explain the role of accidentology in the development of active safety systems.

- Identify constrains and trade-offs for the selection of sensors for the design of active safety systems

- Analyze and apply basic algorithms for signal processing and optimization used in active safety systems

- Explain the role of human factors in the design of active safety

- Describe the rationale, architecture, and challenges in the development of wireless applications such as cooperative systems

- Compare the currently available tools for the evaluation of active safety systems

- Identify the challenges in the analysis of real-traffic data from field operational test or naturalistic studies

Content

Accident and incidents analysis

- Accident analysis and accident data

- Analysis of safety-relevant events from field data

Active safety applications

- Sensors for active safety

- Data processing and threat assessment
- Wireless applications (e.g. cooperative systems)


Human factors

- Driver behavior

- Driver modeling

- Human-machine interfaces


Active safety evaluation

- Driving simulators

- Naturalistic evaluation (e.g. field operational test)

Organisation

- Lectures

- Short applied exercises

- Laboratory exercise

- Visits to automotive industries and traffic-research institutes

Literature

Handouts from the lectures, journal papers, and datasheets.

Examination

- Exam, 4 p, graded

- Exercises, 3.5p, graded

- Presence to visits to the industry and some of the lectures is mandatory


Page manager Published: Thu 04 Feb 2021.