publication . Conference object . Other literature type . 2020

Localization using Dual Fail/Safe Filters with Sensor Fusion in Complex Urban Environments

Park, Munsu; Hwang, Sung-Ho;
Open Access
  • Published: 02 Oct 2020
Abstract
It is difficult to obtain reliable data without proper calibration because variations in illumination and surroundings in complex urban environments affect the sensor input. This study proposes a localization algorithm using sensor fusion in complex urban environments, that applies a fail/safe filter to improve the reliability of data obtained from sensors that reduce dependence on the characteristics of the surrounding environments. This study proposes a sensor fusion localization algorithm in complex urban environments that applies a fail/safe filter to improve the reliability of data obtained from the sensors that are less affected by the characteristics of t...
Subjects
free text keywords: Autonomous vehicle, Sensor Fusion, HD Map, Localization, Complex Urban Environment
Download fromView all 2 versions
ZENODO
Conference object . 2020
Provider: ZENODO
Zenodo
Other literature type . 2020
Provider: Datacite
Any information missing or wrong?Report an Issue