Intelligent Vehicles, 7.5 credits

Main field of study with advanced study

Bachelor of Science degree (or equivalent) in an engineering subject or in computer science. Courses in computer science, computer engineering and electrical engineering of at least 90 credits, including thesis. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods. The course Engineering Mathematics 7.5 credits (second cycle), or equivalent are prerequisites for the course. Exemption of the requirement in Swedish is granted. English 6.

The course is included as an elective course in the Programme Computer Science and Engineering 300 credits, Master's Programme in Embedded and Intelligent Systems 120 credits and in the Master's Programme in Information Technology 120 credits. The course is also offered as a freestanding course.

The goal of the course is to provide advanced knowledge for being able to develop intelligent vehicles and mobile robots with the emphasis on sensor systems, signal processing and control and regulation. The course focuses on sensor fusion, i.e. how information from several sensors should best be combined.

Following successful completion of the course the student should be able to:

Knowledge and understanding

• describe and compare different navigation systems for indoor and outdoor navigation
• explain how basic GPS-based systems work

Skills and ability

• apply, appraise and explain fundamental models for dead-reckoning and kinematic models and methods for combining information from several sensors
• select and present a scientific article in the area of sensor fusion

Judgement and approach

• assess and together with others discuss scientific articles in the area of intelligent vehicles

The course addresses: Dead-reckoning and kinematics models, indoor navigation systems, outdoor navigation systems (e.g. GPS-based systems), sensor fusion (with a focus on the Kalman filter and the Extended Kalman filter), path-planning and obstacle avoidance.

Instruction is by lectures, weekly discussions on scientific papers and exercises. The exercises is documented by a written report.

Examination is in the form of a written exam, approved laboratory session and participation at the seminar.

If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.

Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.