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3D Vision

Innovative 3D sensor systems open up a wealth of new applications in the areas of transport (assistance systems, autonomous systems), industrial automation, inspection and monitoring.

In this connection there is a need to solve fundamental problems such as

  • 3D reconstruction of the environment

  • obstacle detection and object recognition

  • precise measurement of objects

  • self-localisation of the sensor system

  • path and movement planning

reliably, fast and efficiently, using comparatively inexpensive image processing technology. To this end, algorithms for stereoscopic image processing are developed and optimised for efficient performance in real-time environments.

Another core competence is the platform-optimised implementation of such computer vision methods on energy-efficient embedded systems. Assistive & Autonomous Systems a broad portfolio of research projects focusing on specific topics.

Autonomous Land Vehicles

Sensor systems for capturing the environment of a vehicle in 3D enable driver-independent obstacle detection and routing, thus constituting an important element in assistance systems for vehicles ranging from rail vehicles (trains, trams) to road vehicles (cars, trucks) and vehicles used in the construction and agricultural industries (excavators, tractors etc.).

Airborne Vision

Image processing algorithms and 3D sensors developed by AIT are making it possible to detect potential obstacles both in the air and on the ground (e.g. objects on the runway).

Measuring the World

The 3D sensors and algorithms developed by AIT for the spatial capture of objects are used in a variety of applications. For example, in medicine, special 3D scanners are replacing unpleasant silicone dental impressions. And in industrial production, image processing technologies can increase product quality, resulting in lower maintenance costs.

3D Vision and Modeling

AIT’s 3D vision and modeling experts investigate and develop stereovision technologies using advanced image processing methods.