TME192 Active safety lp1 HT19 (7.5 hp)
TME192 Active Safety is an elective course offered from the Department of Mechanics and Maritime Sciences in the first quarter of the second year of the Master Programme for Automotive Engineering (MPAUT). The course is 7.5 credits, the possible grades are 5, 4, 3, not passed. The course is given in English.
Examiner: Marco Dozza (firstname.lastname@example.org)
Teachers: Jonas Bärgman, Giulio Bianchi-Piccinini, Pinar Boyraz, Marco Dozza
Teaching assistants: Linda Pipkorn, Alexander Rasch, Ron Schindler
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.
Ten hours a week are allocated for this course:
- 13:15-17:00 on Mondays
- 8:00-11:45 on Thursdays
- 15:15-17:00 on Fridays
In a typical week, lectures will be on Mondays (13:15-15:00) and Thursdays (8:00-9:45), and exercises on Mondays (15:15-17:00) and Thursdays (10:00-11:45). In addition to the weekly exercises, this course also requires a larer assignment on the design of active safety. Help for the active safety assignment will be offered on Fridays (15:15-17:00). On two -three Fridays, visits to industry or research institutes will replace the help for the laboratory exercise. Typically, we visit Volvo AB, Zenuity, and VTI.
Handouts from the lectures, journal papers, datasheets, and data dictionaries will be available on-line on the course site in Canvas.
Course specific prerequisites
BSc in Engineering and good programming skills (ideally in Matlab).
TME202 Vehicle and traffic safety is recommended.
- Crash analysis and crash data
- Analysis of crashes and near-crashes from field data
Active safety applications
- Sensors for active safety
- Data processing, threat assessment, and decision making
- Wireless applications (e.g. cooperative systems)
- Automated vehicles
- Driver behavior
- Driver modeling
Active safety evaluation
- Driving simulators
- Naturalistic evaluation (e.g. field operational test)
- Counterfactual analysis and evaluation in virtual environments
- Short applied exercises
- Active safety assignment
- Visits to automotive industries and research institutes
Changes made since the last occasion
- The large assignment has been redesigned.
- All lectures were revised to include updated material.
- The part on automated driving was expanded.
- Matlab will be tested in the exercise of the exam.
Learning objectives and syllabus
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, threat assessment, and decision making.
- 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 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
- Explain the new safety challenges introduced by automated driving
- Exam, 4 p, graded
- Active safety assignment, 3.5p, graded
The final grade is the grade from the exam. A poor assignment or an excellent assignment may impact your grade (please see instruction for the assignment to understand how).
During the exam, you may use a dictionary, pens, rulers, and a simple calculator (such as, or equivalent to, Texas Instruments TI30).
Exams will take place on Oct 31st (pm) and Jan 7th (am).
Examples of previous exams are available on this course webpage.
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