Syllabus for |
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TME192 - Active safety
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| Syllabus adopted 2014-02-24 by Head of Programme (or corresponding) |
| Owner: MPAUT |
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7,5 Credits |
| Grading: TH - Five, Four, Three, Not passed |
| Education cycle: Second-cycle |
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Major subject: Automation and Mechatronics Engineering, Bioengineering, Computer Science and Engineering, Electrical Engineering, Information Technology, Mechanical Engineering, Engineering Physics
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Department: 42 - APPLIED MECHANICS
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Teaching language: English
Block schedule:
C
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0113 |
Written and oral assignments |
3,5 c |
Grading: TH |
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3,5 c
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| 0213 |
Examination |
4,0 c |
Grading: TH |
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4,0 c
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30 Oct 2014 pm H
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05 Jan 2015 pm M, |
Contact examiner |
In programs
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 2 (elective)
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 1 (compulsory elective)
MPAUT AUTOMOTIVE 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