Syllabus for |
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| TME192 - Active safety |
| Aktiv säkerhet |
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| Syllabus adopted 2020-02-10 by Head of Programme (or corresponding) |
| Owner: MPAUT |
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7,5 Credits
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| Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail |
| Education cycle: Second-cycle |
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Major subject: Automation and Mechatronics Engineering, Bioengineering, Computer Science and Engineering, Electrical Engineering, Software Engineering, Mechanical Engineering, Engineering Physics |
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Department: 30 - MECHANICS AND MARITIME SCIENCES
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Teaching language: English
Application code: 06122
Open for exchange students: Yes
Block schedule:
C
| Module |
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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 |
3,5c |
Grading: TH |
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3,5c
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| 0213 |
Examination |
4,0c |
Grading: TH |
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4,0c
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29 Oct 2020 pm J 
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04 Jan 2021 am J, |
Contact examiner |
In programs
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 2 (elective)
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 1 (compulsory elective)
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 2 (elective)
Examiner:
Marco Dozza
Go to Course Homepage
Eligibility
General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
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 an academic point of view. In this course, the focus will be on the current challenges and evaluation methodologies for the development of active safety systems. This course consists of four parts: safety-relevant events, active safety systems, human factors in active safety, 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 threat assessment
- Explain the role of human factors in the design of active safety and automated vehicles
- Describe the rationale, architecture, and challenges in the development of cooperative safety systems
- Compare the tools that are currently available for the evaluation of active safety systems
- Identify the challenges in the analysis of real-traffic data from field-operational-tests or naturalistic studies
- Explain the new safety challenges introduced by automated driving
Content
Safety-relevant events
- Crash analysis and crash data
- Analysis of crashes and near-crashes from field data
Active safety applications
- Sensors for active safety
- Data processing and threat assessment
- Wireless applications (cooperative systems)
- Automated vehicles
Human factors
- Road-user behavior
- Driver modeling
Active safety evaluation
- Driving simulators
- Naturalistic evaluation (e.g. field operational test)
- Counterfactual analysis and evaluation in virtual environments
Organisation
- Lectures
- Short applied exercises
- Laboratory exercise
- Visits to automotive industries and traffic-research institutes
Literature
Handouts from the lectures, journal papers, datasheets, and data dictionaries.
Examination including compulsory elements
- Exam, 4 p, graded
- Laboratory exercise, 3.5p, graded