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Search: (WFRF:(Sweeney K)) pers:(Yang Y.) pers:(Griffiths J.) > (2022)

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  • Outomuro, David, et al. (author)
  • Preference for supernormal stimuli tends to override initially learned associations for conspicuous prey traits : implications from a laboratory study
  • 2020
  • In: Journal of ethology. - : SPRINGER JAPAN KK. - 0289-0771 .- 1439-5444. ; 38:3, s. 365-371
  • Journal article (peer-reviewed)abstract
    • How predators select on conspicuous prey traits is not well understood. We used a laboratory setup to investigate the role of learning in predator choice of conspicuous visual traits. We used a generalist predator, the great tit, and coloured wings of males of two species of damselflies as prey. Wing pigmentation differs between the species in colour (green vs. blue) and size (large vs. small). Wing pigmentation is a sexually selected trait that experiences negative selection by avian predators. Inexperienced great tits showed no preference for the colour or the size of wing pigmentation. Great tits were then repeatedly exposed to rewarded wings with either large or small wing patch size. When these experienced birds were exposed to both wing patch sizes for the first time, they tended to prefer the wings with the large patch, irrespective of their previous experience. Our results suggest that the choice of the predator was based on an initial association of the trait to a reward followed by a preference for a supernormal stimulus, probably due to a larger sensory stimulation. We discuss the implications of our laboratory results in the light of previous estimates of damselfly predation risk under field conditions.
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3.
  • Vedder, Benjamin, 1987-, et al. (author)
  • Automated Testing of Ultra-Wideband Positioning for Autonomous Driving
  • Other publication (other academic/artistic)abstract
    • Autonomous vehicles need accurate and dependable positioning, and these systems need to be tested extensively. We have evaluated positioning based on Ultra-Wide Band (UWB) ranging with our self-driving model car using a highly automated approach. Random drivable trajectories were generated, while the UWB position was compared against the Real-Time Kinematic Satellite Navigation (RTK-SN) positioning system that our model car also is equipped with. Fault injection was used to study the fault tolerance of the UWB positioning system. Addressed challenges are: automatically generating test cases for real-time hardware, restore the state between tests and to maintain safety by preventing collisions. We were able to automatically generate and carry out hundreds of experiments on the model car in real time, and re-run them consistently with and without fault injection enabled. Thereby we demonstrate one novel approach to perform automated testing on complex real-time hardware.
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