Self driving vehicles promise to bring one of the greatest technological and social
revolutions of the next decade for their potential to drastically change human mobility and …

This paper deals with the development of a localization methodology for autonomous
vehicles using only a 3 D LIDAR sensor. In the context of this paper, localizing a vehicle in a …

Autonomous vehicles leverage the data provided by a suite of sensors, combining
measurements in order to provide precise and robust position estimation to localization and …

An approach for LIDAR-based localization at high speeds is presented. In the proposed
framework, the laser pose estimation is treated as a parallel redundant information, which is …

Autonomous Racing is gaining increasing publicity as an attractive showcase of state-of-the-
art technologies and the enhanced algorithms used for autonomous driving. The Indy …

Keeping a vehicle well-localized within a prebuilt-map is at the core of any autonomous
vehicle navigation system. In this work, we show that both standard SIR sampling and …

This paper proposes a method that improves autonomous vehicles localization using a
modification of probabilistic laser localization like Monte Carlo Localization (MCL) algorithm …

Localization is an important technology for autonomous driving. Map-matching using road
surface pattern features gives accurate position estimation and has been used in …

Autonomous vehicles rely on GPS aided by motion sensors to localize globally within the
road network. However, not all driving surfaces have satellite visibility. Therefore, it is …

Autonomous driving requires accurate information about the vehicle pose and motion state
in order to achieve precise tracking of the planned trajectory. In this paper we propose a …