Autonomous Driving
Technologies

How to Get Your Projects on the Road Faster

Autonomous driving cars are vehicles that are capable of sensing their environment and navigating without human input. They use a variety of techniques to detect their surroundings, such as radar, laser light, GPS, odometry, and computer vision.

Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Autonomous cars have control systems that are capable of analyzing sensory data to distinguish between different cars on the road, which is very useful in planning a path to the desired destination.

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ADAS

Get your ADAS projects on track quickly and reliably

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Car2x / V2X

Bring vehicles into the conversation with Car2x / V2X hardware and software from Vector.

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News & Events


PREEvision as a Reliable Guide for First Steps in AUTOSAR Adaptive

Vector simplifies the introduction of AUTOSAR Adaptive: The model-based E/E development environment PREEvision comprehensively supports users in expanding existing software and hardware architectures with the capabilities of the AUTOSAR Adaptive Platform.


Technical Article: Overcoming Logging Challenges in ADAS Development Projects

The more tasks that driver assistance systems assume along the way to autonomous driving, the greater the number of

sensors in the vehicle from different suppliers. Real road traffic provides the ideal reference data for testing – in endless

variety. For this purpose, OEMs and system suppliers are sending test vehicles equipped with high-end data loggers onto

the streets to collect data. That data is then used to precisely ”re-simulate“ certain traffic situations in the laboratory

to test new or refined ADAS sensing and control logic. Instead of implementing numerous sensor-specific logging systems,

what is required are scalable approaches and strategies.


vVIRTUALtarget webinar announcements: "Virtual Developing and Testing AUTOSAR Software"

vVIRTUALtarget - realizing AUTOSAR projects in the fast lane

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