Read our case study on how Intellias helped build a cloud-based platform that will enable autonomous driving in the near future. More details: https://www.intellias.com/data-platform-for-autonomous-driving/

1. Data Platform for Autonomous Driving
Case study
Automotive
Autonomous
driving
LBS
Platform
development

2. CLIENT KEY FEATURES
Automated driving
Access multiple data
sources
Connect to real time
analytics
Industry: Automotive, LBS
Market: Global
Team size: 72 members
Cooperation: 2015 – present
Technologies:
Amazon Web Services / Cassandra / Cucumber / Docker
/ Flink / Gerrit / Git / Helm / Java / Jenkins / Kafka /
Kubernetes / Protocol Buffers / Puppet / Python / Scala /
Spark / Splunk / Three.js / WebGL

3. ABOUT CLIENT
Our client has decades of experience
in transforming mapping technologies
to benefit drivers, OEMs, smart cities,
and businesses.
The product portfolio includes
multilayer HD maps, integrated in-
vehicle navigation systems for global
automotive brands, location-based
services for enterprises, and a
collaborative platform powered by
real-time location intelligence.

4. The extensive expertise in location technology sparked the idea of
developing a collaborative location ecosystem. It would benefit its
consumers with shared real-time and historic sensor data, multilayer
maps, and predictive machine learning.
OUR CLIENT CAME WITH THE CHALLENGE
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5. SOLUTION
At the initial stage, the platform targeted the automotive
market, providing the leading OEMs with a reliable road safety
technology that set the foundation for self-driving car
development. Detecting hazardous driving conditions from
vehicle sensors was one of the use cases we implemented.
Driving hazards were detected by analyzing sensor data
describing traction, road conditions, weather, characteristics of
the road surface, and anomalies in vehicle behavior. Detected
hazards were then sent to the cloud and shared among a fleet
of connected vehicles as a warning to drive more cautiously at
specific locations.

6. • Access to built-in services such as routing, geocoding, and rendering
• Multi-layer maps that are able to resolve up to 75% of mapping data errors
• Access to rich map data layers, including classic 2D views and lane-level details
• An architecture that lets developers build complex applications
• An SDK with rich capabilities for implementing custom data pipelines
• A managed environment for secure data deployment
OUR EXPERTISE HAS HELPED OUR CLIENT TO:
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7. The partnership with Intellias allows our in-house
team to free up resources and focus on other strategic
projects, managing only business requirements for the
product Intellias has been delivering. Their team did a
great job by optimizing the development and quality
assurance processes that resulted in increased
efficiency and a 40% reduction in costs. Intellias
impressed us with their solid talent acquisition process
and quality standards.
Andrew, R&D Director at Global LBS company
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8. Excited with our approach?
Let’s start a project together!
Contact us