Localization plays an important role in autonomous driving since a high level of accuracy in
vehicle localization is indispensable for a safe navigation. Most of the motion planning …

During autonomous navigation, environmental information and map noises at different
locations may have dissimilar influence on a vehicle's localization process. This implies that …

Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …

To robustly localize the pose of an ego vehicle within a dynamic environment, it is important
to model the sensor measurements precisely, including changes in the environment. This …

Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …

Accurate localization is the key component in intelligent vehicles for navigation. With the
rapid development especially in urban area, the increasing high-rise buildings results in …

The motion planning framework is one of the challenging tasks in autonomous driving cars.
During motion planning, predicting of trajectory is computed by Gaussian propagation …

High-precision localization has drawn more and more attention in recent research of
intelligent vehicle systems and autonomous robot navigation technology. In most methods …

Accurate localization is a fundamental component of driver-assistance systems and
autonomous vehicles. For path-constrained motion, a map offers significant information and …

Probabilistic techniques (such as Extended Kalman Filter and Particle Filter) have long been
used to solve robotic localization and mapping problem. Despite their good performance in …