Many urban navigation applications (eg, au-tonomous navigation, driver assistance
systems) can benefit greatly from localization with centimeter accuracy. Yet such accuracy …

Autonomous vehicle navigation in dynamic urban environments requires localization
accuracy exceeding that available from GPS-based inertial guidance systems. We have …

Vehicle localization is a key issue that has recently attracted attention in a wide range of
applications. Navigation, vehicle tracking, emergency calling, and location-based services …

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 …

Over the past few years, advanced driver-assistance systems (ADASs) have become a key
element in the research and development of intelligent transportation systems (ITSs) and …

This paper presents a precise localization method for autonomous driving systems by
correcting the GPS bias error. Since GPS errors have systematic noise properties that …

This chapter reviews state‐of‐the‐art sensors, instrumentation and algorithms used for
localization of autonomous vehicles. The current localization approaches for autonomous …

Next generation driver assistance systems require precise self localization. Common
approaches using global navigation satellite systems (GNSSs) suffer from multipath and …

The ability to drive autonomously in heterogeneous environments without GPS, pattern
identification (eg road following), or artificial landmarks is key to field robotics. To address …

Autonomous vehicles must be capable of localizing even in GPS denied situations. In this
paper, we propose a real-time method to localize a vehicle along a route using visual …