Air-flow Sensing for Applications in Autonomous Driving
Name
Roman Matvejev
Abstract
Sensing fluid flow has gotten increased attention of underwater robotics community in the last decade. The field of fluid flow has also been of interest in aerial robotics. It has however not been investigated much in the field of autonomous ground robotics to that extent. The goal of this research is to investigate potential uses of air-flow sensing in autonomous driving and validate potential applications of air-flow sensing in autonomous driving using computational-fluid-dynamics (CFD) simulations. The aim of this work is to investigate whether it is possible to estimate the truck length in front of the autonomous vehicle using data from the air-flow sensors.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Naveed Muhammad, Yar Muhammad
Defence year
2021