Tag: maps
Science at Uber: Powering Uber’s Ridesharing Technologies Through Mapping
Dawn Woodard, Director of Data Science, considers travel time prediction one of Uber's most interesting mapping problems.
Improving Uber’s Mapping Accuracy with CatchME
CatchMapError (CatchMe) is a system that automatically catches errors in Uber's map data with anonymized GPS traces from the driver app.
Open Source at Uber: Meet Alex Sergeev, Horovod Project Lead
We sat down with Horovod project lead, Alex Sergeev, to discuss his path to open source and what most excites him about the future of Uber's distributed deep learning framework.
Scaling Machine Learning at Uber with Michelangelo
Uber built Michelangelo, our machine learning platform, in 2015. Three years later, we reflect our journey to scaling ML at Uber and lessons learned along the way.
Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps
To improve our maps, Uber Engineering analyzes customer support tickets with natural language processing and deep learning to identify and correct inaccurate map data.
H3: Uber’s Hexagonal Hierarchical Spatial Index
Uber developed H3, our open source grid system for optimizing ride pricing and dispatch, to make geospatial data visualization and exploration easier and more efficient.
From Beautiful Maps to Actionable Insights: Introducing kepler.gl, Uber’s Open Source Geospatial Toolbox
Created by Uber's Visualization team, kepler.gl is an open source data agnostic, high-performance web-based application for large-scale geospatial visualizations.
Rethinking GPS: Engineering Next-Gen Location at Uber
Uber’s Sensing, Inference, and Research team released a software upgrade for GPS on Android phones that significantly improves location accuracy in urban environments.
Celebrating Uber Bangalore’s Women in Tech
In honor of International Women’s Day (March 8), Disha Pancholi, Uber Bangalore Engineering’s Site Program Manager, sat down with members of her office to discuss their experiences as women in technology.
Navigating the Engineering Interview Process at Uber & Beyond
Up for the challenge of developing at unprecedented scale? First, learn what it takes to master the technical interview process at Uber.
Engineering More Reliable Transportation with Machine Learning and AI at Uber
In this article, we highlight how Uber leverages machine learning and artificial intelligence to tackle engineering challenges at scale.
Scaling Reliable Transportation for India: Meet Uber Bangalore Engineering
In this article, members of Uber Bangalore Engineering discuss their role in building reliable transportation systems at scale for India—and beyond.
Engineering a Million-Mile Journey with Uber ATG
Uber ATG's Poornima Kaniarasu shares how she found her "place" developing the machine learning technologies behind our self-driving vehicles.
Uber’s Ride with the Sun: Tracking the 2017 Solar Eclipse
Uber Engineering’s Data Visualization team uses their deck.gl and Voyager visualization platforms to map rider behavior during the August 21, 2017 solar eclipse.
Open Sourcing deck.gl 4.0: Uber Engineering’s Framework for Advanced Data Visualization
Uber Engineering debuts deck.gl 4.0, the latest version of our open source data visualization framework featuring enhanced geospatial exploration, a re-architected codebase, and more comprehensive documentation.
