Pubblicazioni di Imperoli Marco
2020
        Pretto  A.,  Aravecchia  S.,  Burgard  W.,  Chebrolu  N.,  Dornhege  C.,  Falck  T.,  Fleckenstein  F. V.,  Fontenla  A.,  Imperoli  M.,  Khanna  R.,  Liebisch  F.,  Lottes  P.,  Milioto  A.,  Nardi  D.,  Nardi  S.,  Pfeifer  J.,  Popovic  M.,  Potena  C.,  Pradalier  C.,  Rothacker-Feder  E.,  Sa  I.,  Schaefer  A.,  Siegwart  R.,  Stachniss  C.,  Walter  A.,  Winterhalter  W.,  Wu  X.,  Nieto  J.  
  
          Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE ROBOTICS AND AUTOMATION MAGAZINE 2020: -  
  2019
        Evangelista  Daniele,  Imperoli  Marco,  Menegatti  Emanuele,  Pretto  Alberto  
  
          FlexSight - A Flexible and Accurate System for Object Detection and Localization for Industrial Robots. 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT) 2019: 58-63  
          Evangelista  Daniele,  Imperoli  Marco,  Menegatti  Emanuele,  Pretto  Alberto  
  
          Machine Vision for Embedded Devices: from Synthetic Object Detection to Pyramidal Stereo Matching. Proceedings of the ARW & OAGM Workshop 2019 2019: 54-59  
          FAWAKHERJI  MULHAM,  Potena  C.,  Bloisi  D. D.,  Imperoli  M.,  Pretto  A.,  Nardi  D.  
  
          UAV image based crop and weed distribution estimation on embedded GPU boards. Computer Analysis of Images and Patterns 2019: 100-108  
  2018
        Imperoli  Marco,  Potena  Ciro,  Nardi  Daniele,  Grisetti  Giorgio,  Pretto  Alberto  
  
          An Effective Multi-Cue Positioning System for Agricultural Robotics. IEEE ROBOTICS AND AUTOMATION LETTERS 2018: 3685-3692  
  2017
        Evangelista  Daniele,  Umberto Villa  Wilson,  Imperoli  Marco,  Vanzo  Andrea,  Iocchi  Luca,  Nardi  Daniele,  Pretto  Alberto  
  
          Grounding natural language instructions in industrial robotics. Proceedings of the IROS 2017 Workshop "Human-Robot Interaction in Collaborative Manufacturing Environments (HRI-CME) 2017: -  
  2015
        Imperoli  Marco,  Pretto  Alberto  
  
          D2CO: Fast and Robust Registration of 3D Textureless Objects Using the Directional Chamfer Distance. Computer Vision Systems 2015: 316-328