Intelligent Vehicles

Education facts

Code: DT8020

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

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. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Intelligent Vehicles

  Halmstad University

  Start date: 19 January 2026

  End date: 29 March 2026

  Pace of study: 50 %