IEEE Robotics and Automation Letters · 2021 · 25 citations · 23 references
EngineeringBiomedical EngineeringMechatronics EngineeringMachine VisionOpticsSensorsMotion SensorsOptical SensorsSense SystemsSensor IntegrationTactile SensingExteroceptive SensingMotion SensingOptical Motion SensingOptical Tactile SensorsRotational SensingTactile Sensor ArraysWhisker-based Sensing
The development of whisker-based sensing systems faces at least two important technical challenges: scaling up the number of whiskers to large arrays while retaining a simple interface; and detecting the wide variety of stimuli that biological whiskers can sense, including both direct touch (contact) and airflow. Here we present the design for a whisker array that leverages a camera to measure whisker rotations without a complex interface. Whiskers are magnetically attached to an elastomer “skin,” ensuring that the system is both scalable and reconfigurable. Direct contact is measured from the relative motion between each whisker and the skin, while airflow and inertia can be inferred from the signal experienced by all whiskers in the array. Individual whiskers can resolve the direction of contact transverse to the whisker within 6.2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> and whisker rotation magnitude to within 0.5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> . An algorithm is developed to distinguish inertial forces from airflow and contact.
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Visual object tracking using adaptive correlation filters
D.S. Bolme, J. Ross Beveridge, Bruce A. Draper et al. · 2010 · 3.3K citations