Intelligent Vehicles
Halmstad University
Startdatum:
Slutdatum:
Studietakt: 50 %
Publicerad utbildningskatalog
Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.
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.
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.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Halmstad University
Startdatum:
Slutdatum:
Studietakt: 50 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2025-09-07T21:54:56