Intelligent Vehicles

Utbildningsfakta

Kod: 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.

Behörighet

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.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Intelligent Vehicles

  Halmstad University

  Halmstad

  Startdatum: 18 januari 2027

  Slutdatum: 28 mars 2027

  Studietakt: 50 %