Autonomous Driving & ADAS

The auto industry giants have joined the race for making the safest and stress-free autonomous vehicle. The autonomous driving solutions require real-time, high-performance software compliant with functional safety standards, while relying on machine learning, self-healing maps, AI, V2X connectivity and computer vision. To achieve their goals in ADAS engineering, however, many Tier 1 companies and OEMs are partnering with software development vendors to create their automotive breakthroughs for ADAS software and autonomous driving solutions.

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Our services

Intellias takes every opportunity to automate, adapt, and enhance vehicle systems for safer and more comfortable driving. To do so, we draw on years of experience in digital mapping, location-based services, predictive road-data management, and ADAS software development. Your ADAS software will get information from the map, GPS, sensors of other cars ahead, and the cloud to guarantee a fast response to the environment for the safest end-to-end solution.

Data layer components

Developing data layers based on HD maps and reality indexes

ADASIS v2/v3 and proprietary standards

Ensuring compliance with the ADASIS CAN protocol

HD map components

Collecting real-time data in HD maps to create a precise picture of the road

ADAS steering/braking control

Calculating the vehicle’s most probable path and sending that data to the ADAS unit

V2X connectivity

Connecting vehicles to all types of road and traffic objects with cloud-based solutions

Real-time interoperability with CAN bus

Enabling navigation systems to reach the CAN bus and communicate a real-time traffic data

Electronic horizon

Integrating an SDK’s navigation core as a stand-alone component in an ADAS control unit

Car as a Service

Developing an ecosystem for car sharing services

Success stories

ADAS solution for electric vehicles
For a young Silicon Valley startup that works on the fully electric car concept, we implemented the latest ADASIS v3 protocol that empowers ADAS apps with an extensive set of features. Those included: access to map data, vehicle positions, and vehicle speed for smarter emergency braking, better predictive headlights, and lower power consumption, detailed lane and line geometry, centimeter-level resolution, enhanced vehicle position messages, and complete intersection messages.
High definition maps for autonomous driving
We developed a location data platform powered by real-time HD maps that would enable self-driving cars in the future. Intellias engineers helped our client, a global leader in location-based services, to develop their big data solution that would be able to provide shared real-time and historical sensor data, multilayer high definition (HD) maps, and predictive machine learning. The HD mapping platform we built opens the possibility for enriching multilayer maps with real-time data that can be exchanged among fully autonomous, connected vehicles.
Advanced driver assistance systems
We helped a global mapping software and services company to equip German premium cars with the most advanced driver assistance functions on the market. Intellias experts helped the carmaker to upgrade their legacy protocol to a newer version to comply with the latest advances in the automotive sector. One of the deliverables was the data driven tool for route planning that enables vehicles to react and adapt to road conditions at distances of a hundred meters to a few kilometers.

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