Introduction to Location Library

The Location Library is a set of algorithms for location based analysis,
including the following features:

Navigating a road network using
graph abstractions
Using property maps to access road attributes
Searching for elements using geospatial queries (limited)
Map matching recorded trips from car sensors or GPS devices to a road network

For more information on HERE data security and durability best practices, see
the Responsible AI.

Why use the Location Library

Primarily, the Location Library helps you with the following objectives:

Efficiently develop prototypes of location based algorithms and prove the
feasibility of use cases, for example in conjunction with the Jupyter notebook
Create location based programs that run in the HERE Workspace batch/stream
pipelines

The Location Library allows you to process information in the cloud for various
use cases, including the following.

Traffic sign recognition

Vehicle sensors recognize traffic signs, such as stop and yield signs. With the
Location Library, your application can infer the position of these traffic
signs.

The traffic signs and their inferred positions can be communicated to a vehicle
through the cloud in order to refresh the onboard map of the vehicle.

Local hazard warning

To help drivers avoid accidents, the Location Library allows you to feed
information into notifications about safety issues ahead, such as:

Accidents
Disabled vehicles in the road
Real-time hazard observations from vehicle sensors

Self-healing map

Unexpected changes to the map, local hazard as listed above, or temporary
closures can affect Highly Automated Driving systems. The Self-Healing Map
feature notifies vehicles about such changes to the map, including real-time
observations from vehicle sensors.

On-street parking

This feature allows you to provide navigation routes with the highest
probability of available on-street parking near the destination. Drivers can
save time when using these navigation routes as it is likely they find parking
close to their destination.

Modules

The Location Library includes several modules.

location-core contains interfaces and algorithms to process location data.
location-inmemory contains efficient in-memory data structures that
implement the core interfaces.
location-integration-optimized-map contains utilities to access the catalog
Optimized Map for Location Library.
location-spark provides advanced distributed algorithms to be used
specifically within Spark.

Before you start working with the Location Library, you should familiarize
yourself with the following key concepts: