Intelligent Vehicles

7,5 credits

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.

Upon completion of the course the student shall be able to:

apply, appraise and explain fundamental models for dead-reckoning and kinematic models and methods for combining information from several sensors
describe and compare different navigation systems for indoor and outdoor navigation
explain how basic GPS-based systems work

It is also recommended that the student has basic knowledge of mathematical statistics.

Spring 2024 (Campus based, Halmstad, 50%)

Level:

Advanced level

Application code:

X3431

Entry requirements:

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.

Selection rules:

Available for exchange students. Limited numbers of seats.

Start week:

week: 03

Instructional time:

Daytime

Language of instruction:

Teaching is in English.

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Spring 2025 (Campus based, Halmstad, 50%)