SUBJECT
Title
Introduction to Vehicles and Sensors
Type of instruction
lecture+practical
Level
Master
Faculty
Part of degree program
Credits
2+1+1
Recommended in
Semester 1
Typically offered in
Autumn semester
Course description
Principles of autonomous vehicles, and self-driving cars. Hardware and software architectures. Sensors, interconnect networks, actuators, processing elements. Radars, LIDAR’s, cameras, ultrasonic, GPS, and other sensors. CAN, LIN, MOST, FlexRay vehicle interconnect networks and architectures. Intelligent transportation systems.
Readings
Recommended readings:
- Ingemar J. Cox, Gordon T. Wilfong: Autonomous Robot Vehicles. Springer Science & Business Media, 2012. ISBN 1461389976, 9781461389972
- Dimitrakopoulos, G., & Demestichas, P. (2010). Intelligent transportation systems. IEEE Vehicular Technology Magazine, 5(1), 77-84.
- Luettel, Thorsten, Michael Himmelsbach, and Hans-Joachim Wuensche. "Autonomous ground vehicles—Concepts and a path to the future." Proceedings of the IEEE 100.Special Centennial Issue (2012): 1831-1839.
- Buehler, Martin, Karl Iagnemma, and Sanjiv Singh, eds. The DARPA urban challenge: autonomous vehicles in city traffic. Vol. 56. springer, 2009.
- Janai, Joel, et al. "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the- Art." arXiv preprint arXiv:1704.05519 (2017).
- Fossen, Thor I., Kristin Y. Pettersen, and Henk Nijmeijer, eds. Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles. Vol. 474. Springer, 2017.