Volvo Turns to Locust Swarms for Future Safety Solutions - VIDEO ENHANCED
GOTHENBURG – September 17, 2008: Since the first single cell organism emerged from primordial soup, nature has been testing, selecting and perfecting how best to help life survive. Along the way, she encountered dead ends and thankfully many successes. Today, lessons learned from Nature help scientists improve our lives with technologies like Velcro that was inspired by burrs on seed pods, self-cleaning coatings for ship hulls from shark skin structures, neuromorphic computer chips that will one day be able to process information the way our brain does, just to mention a few.
Nature is a wonderful laboratory. "We learned of Dr. Claire Rind´s, Newcastle University, UK, studies into the migratory locust, the African Locust, that they tend to avoid bumping into each other during flights," states Jonas Ekmark, Preventive Safety Leader at Volvo Car Corporation. "Our original thoughts centered on pedestrian safety. If we could trace how the locust is able to avoid each other maybe we could program our cars not to hit pedestrians." During the study, Dr. Rind learned that visual input is instantly transmitted to the insect's wing nerve cells, seemingly bypassing the brain. Dr. Rind calls this the Locust Principle.
"Locusts are quick reacting and have reliable circuits, they do their computations against lots of background chatter, much like driving around town," comments Dr. Rind. Volvo wanted to learn if locust sensory-input routing methodologies could be built into a vehicle pedestrian safety system. The goal was to avoid hitting pedestrians. Primary to this research was to synthesize a locust algorithm that could be applied to a car. "As it turns out, the locust processing system is much more sophisticated than the hardware/software currently available. In the end technology was no match for nature," says Jonas Ekmark.
"What we learned was very encouraging. However, rather than wait for technology to catch up to Dr. Rind's Locust Principle, Volvo created a pedestrian alert feature that will be introduced in the near future."When we started in late 2002, sensing and computational systems were rather weak."
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