In this paper, we propose a survey of the Simultaneous Localization And Map** (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

A high-definition (HD) map is becoming an integral component of future mobility systems
such as autonomous and connected vehicles. Advances in computing systems, LiDAR …

Urban environments are becoming more and more complex because several factors as
consecutive crossroads or lanes changes. These scenarios demand specific infrastructures …

Simultaneous Localization And Map** (SLAM) is considered as one of the key solutions
for making mobile robots truly autonomous. Based mainly on perceptive information, the …

This paper proposes an unconventional approach for multi-lane detection and tracking
based on a reactive multi-agent system. Most of the algorithms use camera information with …

Precise positioning plays a key role in successful navigation of autonomous vehicles. A
fusion architecture of Global Positioning System (GPS) and Laser-SLAM (Simultaneous …

Locate a vehicle in an urban environment remains a challenge for the autonomous driving
community. By fusing information from a LIDAR, a Global Navigation by Satellite System …

Occupancy grids have shown interesting properties to model the environment for intelligent
vehicles perception. In this paper, we present a novel approach to build 2D occupancy grid …

A truly autonomous mobile robot have to solve the SLAM problem (ie simultaneous map
building and pose estimation) in order to navigate in an unknown environment …

The simultaneous localization and map** (SLAM) method estimates vehicles' pose and
builds maps established on the collection of environmental information primarily through …