Publication

Vision-aided inertial navigation system for robotic mobile mapping

Jan Skaloud, Fadi Atef Bayoud
2008
Journal Articles

Abstract

A mapping system by vision-aided inertial navigation was developed for areas where GNSS signals are unreachable. In this framework, a methodology on the integration of vision and inertial sensors is presented, analysed and tested. The system employs the method of "SLAM: Simultaneous Localisation And MappingW where the only external input available to the system at the beginning of the mapping mission is a number of features with known coordinates.

Official source

https://infoscience.epfl.ch/entities/publication/b730002d-1e50-452e-a556-b7bb64e29c31

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Vision-aided inertial navigation system for robotic mobile mapping

Chat with Graph Search

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

VDM-based navigation for Delta-wing UAVs: Models, calibration, implementation

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment