This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …

Availability of detailed, high accuracy digital maps is crucial for many driver assistance
applications. In this paper, a novel approach for automated map generation from aerial …

An informative digital map is a prerequisite for future Intelligent Transportation System (ITS)
applications such as lane level navigation systems. Preparing and updating such detailed …

In this paper, a real-time path-planning algorithm that provides an optimal path for off-road
autonomous driving with static obstacles avoidance is presented. The proposed planning …

In order to solve the problem of global path planning for autonomous vehicles in off-road
environment, an improved A-star path-searching algorithm considering the vehicle …

Many studies in the field of robot navigation have focused on environment representation
and localization. The goal of map representation is to summarize spatial information in …

Automatic lane-changing is a complex and critical task for autonomous vehicle control.
Existing researches on autonomous vehicle technology mainly focus on avoiding obstacles; …

Providing accurate map data is essential for a variety of applications in traffic engineering,
eg navigation systems. To overcome costs and effort associated with classical map …

This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …

In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …