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Self-driving cars will be on our streets in the foreseeable future. In Graz, research is currently dedicated to an innovative driver assistance system that takes over control if there is a danger of collision. It was nature that inspired Dr Manfred Hartbauer from the Institute of Zoology at the University of Graz: in dangerous traffic situations, migratory locusts react around ten times faster than humans. Working together with an interdisciplinary team, Hartbauer is investigating an affordable collision detector that is equipped with artificial locust eyes and can recognise potential crashes in time, during both day and night.
Inspired by insects
Migratory locusts travel in swarms of up to 1.5 million individuals, moving like a single organism and reacting quickly to predators. “If a bird dives into a swarm, the unit divides and the predator hits thin air” explains Hartbauer. This quick coordination is made possible by special visual collision detectors. Locusts possess a neuron in the lobula of each compound eye that reacts to impending collisions by increased excitation. Its level directly influences flight behaviour.
The zoologist undertook laboratory tests in which he showed confronted individual insects with short traffic videos of showing serious collisions from the driver’s perspective. At the same time he recorded the excitation of “collision detector neurones”. The results were so impressive that Hartbauer developed a computer model that is able to recognise impending collisions using image sequences with low optical resolution as input to calculate the braking force and a possible evasive steering direction.
Technical implementation
“At the moment, the patentability of this method of collision detection is being checked, with the aim of moving onto technical implementation within the framework of an interdisciplinary project,” explained Hartbauer. The aim is to develop an innovative sensor concept indicating imminent collisions at day and night making use of patented nanotechnology from Joanneum Research. “If this is successful, autonomous cars and driver assistance systems will be able to make use of an affordable collision sensor system, which will reduce the number of traffic accidents drastically,” said Hartbauer. The zoologist also plans to work together with the Vehicle Safety Institute at Graz University of Technology to develop a driver assistance assistant system inspired by the effective locust collision avoidance behaviour. The project will soon be submitted to the Austrian Science Fund and is part of the “Brain and Behaviour” research focus at the University of Graz.
For further enquiries please contact:
Assoz. Prof. Dr. Manfred Hartbauer
Institute of Zoology
University of Graz
Tel.: 0316/380-5616
E-Mail: manfred.hartbauer@uni-graz.at
Locusts of the species schistocerca gregaria can react extremely quickly to impending collisions. It ...
Uni Graz
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