Optimizing the inter-distances between vehicles is very important to reduce traffic congestion
on highways. Variable spacing and constant spacing are the two policies for the longitudinal …

A good path tracker is one of the keys for the successful development of a self-driving car. In
the literature, there exists a wide variety of techniques, some complex and some simple and …

This paper describes a novel projection model based on the so-called unified projection
model. The new model applies to catadioptric systems and wide-angle fish-eye cameras, it …

A 2D mobile robot localization system which uses odometry and the azimuth angles of
known landmarks is presented. Observability analysis helps to determine situations where …

For precise localization of outdoor mobile robots, real-time kinematic Global Positioning
System (RTK GPS) has obvious advantages: position data are given with centimeter …

An operator-aiding system for compactors must incorporate a localization system. In this
paper, we consider real-time kinematic (RTK) GPS and we present the solutions we have …

This paper presents a navigation system providing precise 3D position and spatial attitude
data for slow outdoor vehicles. Our system uses an odometer and an automatic laser …

Self-driving car's navigation requires a very precise localization covering wide areas and
long distances. Moreover, they have to do it at faster speeds than conventional mobile …

The ability of self-localization is a basic requirement for an autonomous vehicle, and a prior
reconstruction of the environment is usually needed. This paper analyses the performances …

Finding solutions to traffic congestion is an active area of research. Many ideas have been
proposed to reduce this problem, among of this ideas is moving in platoon. The constant …