Estimating the motion of a vehicle is a crucial requirement for intelligent vehicles. In order to
solve this problem using a Bayes filter, an appropriate model of vehicular motions is …

For human drivers, having rear and side-view mirrors is vital for safe driving. They deliver a
more complete view of what is happening around the car. Human drivers also heavily exploit …

This paper proposes a sensor fusion-based low-cost vehicle localization system. The
proposed system fuses a global positioning system (GPS), an inertial measurement unit …

Vehicle position estimation for intelligent vehicles requires not only highly accurate position
information but reliable and continuous information provision as well. A low-cost Global …

Autonomous driving in public roads requires precise localization within the range of few
centimeters. Even the best localization systems based on GNSS cannot always reach this …

Most navigation systems today rely on global navigation satellite systems (gnss), including
in cars. With support from odometry and inertial sensors, this is a sufficiently accurate and …

High Definition (HD) maps are becoming key elements of the autonomous driving because
they can provide information about the surrounding environment of the autonomous car …

This paper presents a Monte Carlo localization algorithm for an autonomous car based on
an integration of multiple sensors data. The sensor system is composed of onboard motion …

Estimating the pose in real-time is a primary function for intelligent vehicle navigation. Whilst
different solutions exist, most of them rely on the use of high-end sensors. This paper …

Vision based localization is a cost effective method for indoor and outdoor application.
However, it has drift problem if none global optimization is used. We proposed a geo …