This study presents our efforts to automate the detection of unofficial roads (herein, roads) in
the Brazilian Amazon using artificial intelligence (AI). In this region, roads are built by …

OpenStreetMap (OSM) is a volunteered platform designed to provide up-to-date and freely
available geographic information data. OSM is known as one of the most extensively used …

Road network data are an important part of many applications, eg, intelligent transportation
and urban planning. At present, most of the approaches to road network generation are …

With the promotion of low-carbon travel, pedestrian network plays an important role in many
location-based applications, such as pedestrian navigation and refined traffic management …

Map quality is of great importance to location-based-services (LBS) applications such as
navigation and route planning. Typically, a map can be extracted from either vehicle GPS …

The increasing availability of large-scale global positioning system data stemming from in-
vehicle-embedded terminal devices enables the design of methods deriving road network …

The localization of autonomous vehicles mainly depends on GPS-based methods in large-
scale outdoor scenarios. Unfortunately, GPS is vulnerable and not reliable in some regions …

Ubiquitous trajectory data provides new opportunities for production and update of the road
network. A number of methods have been proposed for road network construction and …

Road network matching that detects arc-to-arc relations is a crucial prerequisite for the
update of road data. The increasing complexity of multi-source and multi-scale road network …

High-definition (HD) maps can provide an accurate representation of the road ahead and
information on the surrounding environment, which is the key to the success of autonomous …