In cooperation with industrialpartners such as Bombardier,AIT is developing unique driverassistance systems.
The development of intelligent driver assistance systems and technologies for autonomousvehicles, aircraft and transport and work machinery using 3D technologies is one of the mostimportant industry-related AIT research areas.
3D reconstruction of environments
Object recognition, classification and tracking
Path and motion planning
Driver Assistance System for Trams, Client:Bombardier
3D Dental Scanner, Client: a.tron3d
Embedded Stereo Vision on FPGA, Client: IEE S.A.
Augmented Reality and Indoor Navigation
Human Detection and Obstacle Avoidance forMobile Machines
AUTONOMOUS LAND VEHICLES
SafeCon – Safe Semi-Autonomous Convoying *
RelCon – Reliable Control of Semi-AutonomousPlatforms *
SWAMO – Sensing and Reconstructing the WorldAround Mobile Machines (grant-aided as part ofFIT-IT)
AnyView3D – combining multiple visual cues forrobust 3D sensing (grant-aided as part of BRIDGE)
SkyObserver – unmanned aircraft systems forairborne reconnaissance in emergency anddisaster management *
HWS-PAS – Highway in the Sky Pilot AssistanceSystem **
VASL – Visual Airborne Self Localization **
DVKUP – Collision avoidance systems for pilotassistance **
* grant-aided in the KIRAS Safety Research Program of the Federal Ministry forTransport, Innovation and Technology (BMVIT)
** grant-aided as part of TAKEOFF
SELF-LEARNING IT SYSTEMS
AIT has extensive expertise in the field of innovative computer visionand self-learning IT systems in the research area of „Intelligent visionsystems“. In this context, AIT Experts have developed a special 3D sen-sor technology that allows reliable and driver-independent 3D capturingof the environment in real-time by vehicles and is therefore an essentialcomponent of vehicle assistance systems. The development objectivesare increasing safety by assisting the driver, and improving efficiency,especially in the field of mobile work machines in industry, constructionand agriculture. These technologies form an important basis for fullyautonomously operating vehicles.
RAIL, ROAD AND OFF-ROAD
The AIT technologies are developed in close collaboration with industrypartners to produce production-ready systems. A case in point is the co-operation between AIT and Bombardier on developing a driver assistancesystem for trams, a global first. The tram learns to recognize various ob-jects, e.g. vehicles and persons, in advance to independently assess theirdanger potential for possible collisions and to react accordingly, thus rev-olutionizing tramway safety. In the field of construction, the innovative as-sistance technology is moving into the field of heavy mobile work ma-chines in cooperation with Liebherr, capturing the vehicle surroundingsto reduce the risk of accidents for drivers and workers.
FULLY AUTONOMOUS VEHICLES
The AIT technologies also enable the realization of fully autonomouslyoperating vehicles. In 2016, a modern drive-by-wire tractor was presentedas part of the „European Land Robot Trial (EL-ROB)“; it was later devel-oped further into a completely autonomous vehicle for use in special of-froad scenarios using special AIT driver assistance technology – an impor-tant step towards the development of new, promising fields of applicatione.g. in agriculture (precision farming). This technology development is car-ried out in close cooperation with Austrian partners from industry as wellas the BMLVS (Austrian Federal Ministry for National Defence and Sport)and is funded by the Federal Ministry of Transport, Innovation and Technol-ogy (bmvit) within the research program „ICT of the future“.
In the aviation sector as well, sensor technologies developed at the AITenable the detection of possible obstacles, both in the air and on theground (e.g. objects on the runway). This enables realising assistancesystems for pilots or autonomous flying systems. This requires a relia-ble obstacle detection under different environmental conditions, theability to independently perform evasive maneuvers in order to avoidcollisions and a secure self-localization of the aircraft, even indepen-dent of satellite navigation. A key objective of the developments is to in-crease safety in the manned aviation by supporting the pilot as well asto expand the application possibilities of unmanned systems, e.g. forthe transport of goods in hazard zones or compiling the situation pictu-re in crisis management and disaster management, e.g. in case of fires,floods, avalanches or major events, or to locate vulnerable persons ordetermine the spread of hazardous gases. The monitoring of critical in-frastructures such as power lines, dams or industrial plants also repre-sent important future deployment scenarios.
Photos: AIT/Michael Mürling, AIT/Zinner, Lunghammer – TU Graz
The self-driving tractor was one of thehighlights at the ELROB 2016.
Prof. Dr. Thomas Pock, Principal Scientist amAIT Center for Vision, Automation & Control
DI Dr. Manfred Gruber, Head of Business UnitAutonomous Systems