Indoor Navigation with Model Vehicles
Sammanfattning
This paper describes a vision-based approach to miniature robot vehicle position estimation
and navigation, that integrates data from on-board camera, tachometers and
steering servo. The goal is to navigate a miniature vehicle on an indoor track using
visual data from lane markings and dead reckoning from odometry. Then the estimated
position of the miniature vehicle will be visualized in real-time and overlayed on a photo
of the actual track. This will be used to evaluate how well this estimation performs and
what its limitations are.
Examinationsnivå
Student essay