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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
TME192 - Active safety  
Aktiv säkerhet
 
Syllabus adopted 2019-02-21 by Head of Programme (or corresponding)
Owner: MPAUT
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: Second-cycle
Major subject: Automation and Mechatronics Engineering, Bioengineering, Computer Science and Engineering, Electrical Engineering, Information Technology, Mechanical Engineering, Engineering Physics
Department: 30 - MECHANICS AND MARITIME SCIENCES


Teaching language: English
Application code: 06116
Open for exchange students: Yes
Block schedule: C

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   31 Oct 2019 pm H   07 Jan 2020 am 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:

Marco Dozza

  Go to Course Homepage

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 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 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
- 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


Published: Wed 26 Feb 2020.