Network-RTK GNSS for Land Vehicle Navigation Application

GNSS-aided INS for land vehicle positioning and navigation

This thesis begins with a survey of current state-of-the art in-car navigation sys-tems. The pros and cons of the four commonly used information sources –GNSS/RF-based positioning, vehicle motion sensors, vehicle models and map in-formation – are described. Common filters to combine the information from thevarious sources are discussed.Next, a GNSS-aided inertial navigation ...

System Architecture for Server-Based Network-RTK using Multiple GNSS

Improved accuracy and reliability of the real-time user coordinates is expected if GNSS data is processed using the network-RTK technique. Some implementations of conventional network-RTK, e.g. Virtual Reference Station (VRS) techniques, require bi-directional communications via GSM/GPRS since the network server transmits network-corrections to a user, while the user receiver is required to tra...

Monocular Camera/IMU/GNSS Integration for Ground Vehicle Navigation in Challenging GNSS Environments

Low-cost MEMS-based IMUs, video cameras and portable GNSS devices are commercially available for automotive applications and some manufacturers have already integrated such facilities into their vehicle systems. GNSS provides positioning, navigation and timing solutions to users worldwide. However, signal attenuation, reflections or blockages may give rise to positioning difficulties. As oppose...

Trajectory-aided GNSS Land Navigation: Application to Train Positioning. (La navigation terrestre GNSS assistée par la trajectoire : application au positionnement du train)

Calibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation

The designing of advanced driver assistance systems and autonomous vehicles needs measurement of dynamical variations of vehicle, such as acceleration, velocity and yaw rate. Designed adaptive controllers to control lateral and longitudinal vehicle dynamics are based on the measured variables. Inertial MEMS-based sensors have some benefits including low price and low consumption that make them ...