[robotics-worldwide] [meetings] 2nd CFP: ICCV Workshop on Vision in Practice on Autonomous Robots

Keith Sullivan keith.sullivan at nrl.navy.mil
Tue Jun 6 06:48:45 PDT 2017


Dear Colleagues,

I'd like to invite you to participate in the upcoming International 
Conference on Computer Vision (ICCV) workshop Vision in Practice on 
Autonomous Robots (ViPAR).  This workshop aims to bring together 
computer vision and robotics researchers to discuss issues related to 
deploying computer vision on an autonomous robot.  Please see the 
website for additional information: 
https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_view_vipar2017iccv_&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=y_Pva-bxbFj4_n_yhMZiPRxSB-kecRoJCmC1NsVwRHM&s=_QhspV04eXX-avDDM6CcpncYujXrzGSu5GGaKOZILg0&e= 

Thank you,
Keith Sullivan, Ed Lawson, Eric Martinson
ICCV ViPAR Organizers



    Call for Contributions

Mobile robots have matured tremendously in recent years, resulting in 
platforms that are very capable in a number of situations. A few 
examples include industrial robots such as Baxter by Rethink Robotics, 
general purpose platforms such as Atlas by Boston Dynamics, or the 
recent DARPA Robotics Challenge winner, DRC-HUBO by Rainbow Robotics. To 
become integrated into our workplace and society in general, robots need 
better perceptual capabilities than what is currently being deployed. 
Recent developments in computer vision are promising. Data driven 
solutions have demonstrated significant advances to a wide variety of 
problems, providing robustness to lighting, changing perspective and 
camera motion. Unfortunately, deploying these solutions to robots 
continues to involve its own set of challenges. Hardware is often 
limited, the online data sets are not representative of robot computer 
vision problems, and, often, the camera view from the robot does not 
contain adequate features for classification. This workshop aims to 
bring together computer vision and robotics researchers to discuss 
issues related to deploying computer vision on an autonomous robot.

We particularly encourage submissions that have successfully been 
demonstrated on autonomous robots. In addition to papers describing 
completed work, we also encourage papers that describe work in-progress.

Possible topics include, but are not limited to:

  * Unsupervised, semi-supervised, or Reinforcement Learning on Robotics
    Platforms
  * Object Detection and Recognition
  * Active perception
  * Real-time Perception
  * Navigation and SLAM
  * Temporal and/or contextual reasoning
  * Scene understanding from robotics platforms
  * Autonomous Robotic Surveillance and Tracking
  * Biometrics on Robotics Platforms
  * Understanding Hand Gestures from Autonomous Robots
  * Computer vision using limited resources typical on autonomous robots


    Important Dates

Submission -- July 21 (hard deadline; no extensions will be given)

Review Results -- August 11

Camera Ready Copy -- August 25

Workshop Date -- October 23 Afternoon



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