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

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