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Introduction
Computer vision plays a key role in vehicle technology, some examples are advanced driver assistance systems (ADAS), exploratory and service robotics, unmanned aerial vehicles and underwater robots. In addition to traditional applications such as lane departure warning, traffic object recognition, visual odometry or trajectory planning, new challenges are arising: learning and evaluation with reduced groundtruth/testing data, on-board calibration for multi-cameras, SLAM in natural scenarios, etc. The goal of the 4th CVVT:E2M workshop, to be hosted in ICCV 2013 in Sydney (Australia), is to get together researchers in computer vision for vehicular technologies, in order to and promote development and spreading of new ideas and results across the aforementioned fields.
Call for paper

Submission Topics

We invite the submission of original research contributions in computer vision addressed to: Autonomous navigation and exploration based on vision and 3D measurements Vision-based advanced driver assistance systems Vision-based underwater and unmanned aer
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Important Date
  • Dec 08

    2013

    Conference Date

  • Dec 08 2013

    Registration deadline

Sponsored By
IEEE 计算机学会
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