Energy and Mobility 2

Course content

• Commissioning of sensors
• Transmission of sensor data via radio, radio remote control
• Localisation in a static environment
• Vehicle modelling
• Programming of selected functions in a vehicle
• Setting up a test environment

Learning outcomes

Graduates

• learn about selected sensors used in the automotive sector,
• are familiar with statistical methods for sensor signal analysis in vehicles and
• are familiar with techniques for modelling vehicles and selected functions.

Recommended or required reading and other learning resources / tools

Books:

• Hintenaus: Engineering Embedded Systems
• Thrun, Fox: Probabilistic Robotics

Mode of delivery

Integrated course, exercises 66%

Prerequisites and co-requisites

• Applied Electrical Engineering 2
• Semiconductor Technology
• Control Engineering and Electric Drives
• Analog Signal Processing
• Design and Test of Electronic Devices
• Applied Computer Science 2
• Embedded Systems
• Embedded Computing 1
• Communication Technology
• Energy and Mobility 1
• Technology Management 1
• Technology Management 2 
• Technology Management 3
• Technology Management 4

Assessment methods and criteria

Continuous assessment