English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

GNSS (Global Navigation Satellite System) system is the most famous system to realize localization of mobile robots. It is able to provide a global position everywhere in the world. Moreover, as it provides a global position, it is not necessary to place the robot in known or structured environments (i.e. where several landmarks are available) to localize it unlike local positioning systems. So, the GNSS system has became an unavoidable system to guide automatically mobile robots. Generally, GPS-RTK (Real Time Kinematic) sensors are used to localize and guide automatically mobile robots in outdoor environment. This type of sensor has a precision about few centimeters. However, they are expensive and difficult to use because they need differential correction to improve their precision. Consequently, an other GPS receiver is necessary as a reference. Moreover, their accurate measure is not always available because of GPS signal losses or multipaths. In this case, their accuracy to within 2 centimeters which is their main advantage, is not always available. So, it is impossible to use GPS-RTK sensors alone to have an effective localization system in the context of autonomous guidance. It must be used with other sensors to insure the localization when GPS signal is not available (Pein et al., 2006). Some research makes an effective localization system for mobile robots using GPS-RTK with other satellite sensors. However, the dissemination of automatic guidance system in outdoor environment can use a low-cost sensors as natural GPS or GPS with a differential correction (WAAS or EGNOS). This type of sensors are less expensive than GPS-RTK and easy to use, because the operator has just to use and manage a single receiver. This last one has an accuracy between 1 and 3 meters with WAAS or EGNOS differential correction. To enhance their precision, natural GPS data can be fused with other exteroceptive data as it is done in (Tessier et al., 2006a). Generally, these localization systems are based on a Kalman Filter (KF) because 6

Reliable Localization Systems Including GNSS Bias Correction