Position realization and obstacle avoidance using RGB-D camera with hardware optimization

Jon Cambron, Toshiyuki Tanaka

Research output: Contribution to conferencePaper

Abstract

In recent years several implementations of position and movement realization via visual means have been developed. With the cost of RGB-D cameras decreasing and the availability of powerful hardware for processing images the area of visual odometry and VSLAM has become a heavily researched area. This project attempts to find an improved and cost effective environment for image processing to allow for collision avoidance and visual odometry. We attempt to create a multi-core embedded processing environment that will allow for an extremely fast and accurate estimation of position. This paper focuses on the key issue of improvement of visual odometry.

Original languageEnglish
Pages2128-2130
Number of pages3
Publication statusPublished - 2013 Jan 1
Event2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
Duration: 2013 Sep 142013 Sep 17

Other

Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
CountryJapan
CityNagoya
Period13/9/1413/9/17

Keywords

  • FPGA
  • Pandaboard
  • SIFT
  • VHDL
  • Visual odometry

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Cambron, J., & Tanaka, T. (2013). Position realization and obstacle avoidance using RGB-D camera with hardware optimization. 2128-2130. Paper presented at 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, Japan.