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24 25</head> 26<body> 27<div id="wrapper"> 28 <header id="header"> 29 <h1 class="cg"><a href="index.html">Dražen BrÅ¡ÄiÄ</a></h1> 30 <nav class="drawer drawer--left"> 31 <button type="button" class="drawer-toggle drawer-hamburger"><span class="sr-only">toggle navigation</span><span class="drawer-hamburger-icon"></span></button> 32 <nav class="drawer-nav"> 33 <ul class="drawer-menu"> 34 <li><a href="index.html">about</a></li> 35 <li><a href="research.html">research</a></li> 36 <li><a href="publications.html">publications</a></li> 37 <li><a href="contact.html">contact</a></li> 38 <li class="jp"><a href="research-ja.html">æ¥æ¬èª</a></li> 39 </ul> 40 </nav> 41 </nav> 42 </header> 43 <div id="contents"> 44 <main id="main"> 45 <article> 46 <section> 47
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50 51 <noscript>To display you need a browser that supports JavaScript</noscript> 52 53 54<!-- 55 <h2 class="cg">some research I was involved in</h2> 56 <section> 57 <h3 class="cg">tracking pedestrians using 3D range sensors</h3> 58 <p> A method for tracking the position, body direction and height of persons which uses 3D range sensors as input was developed. The system was installed in a shopping mall in Osaka, with a total of 49 sensors covering an area of 900 m2. </p> 59 <p> Here is a video of the system in operation. </p> 60 <div class="youtube"> 61 <iframe src="https://www.youtube.com/embed/HYVj3cCJUdI" frameborder="0" allowfullscreen></iframe> 62 </div> 63 <p> Datasets of the collected pedestrian data and of sensor measurements are freely available for research purposes <a href="http://www.irc.atr.jp/crest2010_HRI/ATC_dataset/" target="_blank">here</a>. </p> 64 <div class="research_papers"> 65 <ul> 66 <li>D. BrÅ¡ÄiÄ, T. Kanda, T. Ikeda, T. Miyashita, <i>Person tracking in large public spaces using 3D range sensors</i>, IEEE Transactions on Human-Machine Systems, Vol. 43, No. 6, pp. 522-534, 2013</li> 67 <li>D. BrÅ¡ÄiÄ, T. Kanda, <i>Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking</i>, IEEE Transactions on Human-Machine Systems, Vol. 45, No. 2, pp. 228-237, 2015</li> 68 </ul> 69 </div> 70 </section> 71 <section> 72 <h3 class="cg">escaping children's abuse of robots</h3> 73 <p> We studied the problem of the robot being abused by small children in public spaces, and proposed a method to predict the abuse and escape from it. </p> 74 <div class="youtube"> 75 <iframe src="https://www.youtube.com/embed/CuJT9EtdETY" frameborder="0" allowfullscreen></iframe> 76 </div> 77 <p>This work has also been covered in the press - <a href="http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/children-beating-up-robot/?utm_source=roboticsnews&utm_medium=email&utm_campaign=081815#" target="_blank">IEEE Spectrum</a></p> 78 <div class="research_papers"> 79 <p>D. BrÅ¡ÄiÄ, H. Kidokoro, Y. Suehiro, M. Shiomi, <i>Escaping from Childrenâs Abuse of Social Robots</i>, 10th ACM/IEEE International Conference on Human-Robot Interaction HRI 2015, pp. 59-66, Portland, USA, March 2015</p> 80 </div> 81 </section> 82 <section> 83 <h3 class="cg">robot providing information</h3> 84 <p>We developed a method to predict the motion of typical visitors and used it to implement a robot which approaches only atypical people in order to offer them help.</p> 85 <div class="youtube"> 86 <iframe src="https://www.youtube.com/embed/FLE8utuaavo" frameborder="0" allowfullscreen></iframe> 87 </div> 88 <div class="research_papers"> 89 <p>D. BrÅ¡ÄiÄ, T. Ikeda, T. Kanda, "Do You Need Help? A Robot Providing Information to People Who Behave Atypically", IEEE Transactions on Robotics, Vol. 33, No. 3, 2017 (to appear)</p> 90 </div> 91 </section> 92 <section> 93 <h3 class="cg">preventing congestion around robot</h3> 94 <p>Since a robot often attracts crowds of people and can become a nuisance to other pedestrians, we developed a way for the robot to estimate the effect of its pressence on the confort of people passing nearby and used this model to plan the robots actions.</p> 95 <div class="youtube"> 96 <iframe src="https://www.youtube.com/embed/N014SI-SzKc" frameborder="0" allowfullscreen></iframe> 97 </div> 98 <div class="research_papers"> 99 <ul> 100 <li>H. Kidokoro, T. Kanda, D. BrÅ¡ÄiÄ, M. Shiomi, <i>Simulation-Based Behavior Planning to Prevent Congestion of Pedestrians Around a Robot</i>, IEEE Transactions on Robotics, Vol. 31, No. 6, pp. 1419-1431, 2015</li> 101 <li>H. Kidokoro, T. Kanda, D. BrÅ¡ÄiÄ, M. Shiomi, <i>Will I bother here? - A robot anticipating its influence on pedestrian walking comfort</i>, 8th ACM/IEEE International Conference on Human-Robot Interaction HRI 2013, pp. 259-266, Tokyo, Japan, March 2013</li> 102 </ul> 103 </div> 104 </section> 105 <section> 106 <h3 class="cg">modelling pedestrian behavior</h3> 107 <p>In particular, we modelled the behavior of pedestrian groups and using this models to recognize pedestrians who are in a social group. See e.g. the following works:</p> 108 <div class="research_papers"> 109 <ul> 110 <li>F. Zanlungo, D. BrÅ¡ÄiÄ, T. Kanda, <i>
110Spatial-size scaling of pedestrian groups under growing density conditions</i>, Physical Review E, Vol. 91, No. 6, p. 062810, 2015</li> 111 <li>D. BrÅ¡ÄiÄ, F. Zanlungo, T. Kanda, <i>Density and Velocity Patterns during One Year of Pedestrian Tracking</i>, Conference on Pedestrian and Evacuation Dynamics PED 2014, October 2014 (in Transportation Research Procedia, Vol. 2, pp. 77-86, 2014)</li> 112 <li>F. Zanlungo, D. BrÅ¡ÄiÄ, T. Kanda, <i>Pedestrian Group Behaviour Analysis under Different Density Conditions</i>, Conference on Pedestrian and Evacuation Dynamics PED 2014, October 2014 (in Transportation Research Procedia, Vol. 2, pp. 149-158, 2014)</li> 113 </ul> 114 </div> 115 </section> 116--> 117 118 </section> 119 </article> 120 </main> 121 <nav id="nav"> 122 <ul> 123 <li><a href="index.html">about</a></li> 124 <li><a href="research.html" class="on">research</a></li> 125 <li><a href="publications.html">publications</a></li> 126 <li><a href="contact.html">contact</a></li> 127 <li class="jp"><a href="research-ja.html">æ¥æ¬èª</a></li> 128 </ul> 129 </nav> 130 </div> 131</div> 132</body> 133</html>
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