OpenStreetMap (OSM) is a community-based, freely available, editable map service created
as an alternative to authoritative sources. Given that it is edited mainly by volunteers with …

Humans can orient themselves in their 3D environments using simple 2D maps. Differently,
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …

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 …

In this paper we propose a novel semantic localization algorithm that exploits multiple
sensors and has precision on the order of a few centimeters. Our approach does not require …

Accurate and efficient self-localization is a critical problem for autonomous systems. This
paper describes an affordable solution to vehicle self-localization which uses odometry …

This paper presents Sequence Matching Across Route Traversals (SMART); a generally
applicable sequence-based place recognition algorithm. SMART provides invariance to …

This letter is about localising a vehicle in an overhead image using FMCW radar mounted
on a ground vehicle. FMCW radar offers extraordinary promise and efficacy for vehicle …

Using publicly accessible maps, we propose a novel vehicle localization method that can be
applied without using prior light detection and ranging (LiDAR) maps. Our method generates …

This letter presents a novel method for geographical localization by registering satellite
maps with LiDAR point clouds. This method includes a Transformer-based 2D-3D matching …

Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …