We developed an AI which learns your driving patterns and can accurately predict your next destination based on current situation.
We questioned the credibility of posted speed limits using Big Data Analysis built in SpaceTime. We identified locations where...
To get the results, an SQL query must be parsed, validated, planned, optimized, and finally executed on a query engine. Apache Calcite can help with that.
How to perform real-time processing when data ingestion rates are measured in millions of entries per second?
We built a distributed storage engine capable of storing and indexing trillions of entries and optimized a way of querying spatiotemporal data.
Map matching is a process of matching received vehicle coordinates with most likely road segment of a digital road map.
Storing and analyzing a large amount of spatiotemporal real-time data requires special treatment in choosing data structures and query algorithms.
Each projection has its cons and pros, so the right question isn't which one is the best but for which purpose map is needed?
The process, in a nutshell, is quite simple – GPS receiver in your mobile phone gets radio signals from GPS satellites in the space.