Qualitative real-time range extraction for preplanned scene partitioning using laser beam coding

Didi Sazbon, Zeev Zalevsky, Ehud Rivlin

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper proposes a novel technique to extract range using a phase-only filter for a laser beam. The workspace is partitioned according to M meaningful preplanned range segments, each representing a relevant range segment in the scene, The phase-only filter codes the laser beam into M different diffraction patterns, corresponding to the predetermined range of each segment, Once the scene is illuminated by the coded beam, each plane in it would irradiate in a pattern corresponding to its range from the light source, Thus, range can be extracted at acquisition time, This technique has proven to be very efficient for qualitative real-time range extraction, and is mostly appropriate to handle mobile robot applications where a scene could be partitioned into a set of meaningful ranges, such as obstacle detection and docking, The hardware consists of a laser beam, a lens, a filter, and a camera, implying a simple and cost-effective technique.

    Original languageEnglish
    Title of host publicationImage Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings
    Pages320-327
    Number of pages8
    DOIs
    StatePublished - 2005
    Event13th International Conference on Image Analysis and Processing, ICIAP 2005 - Cagliari, Italy
    Duration: 6 Sep 20058 Sep 2005

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3617 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference13th International Conference on Image Analysis and Processing, ICIAP 2005
    Country/TerritoryItaly
    CityCagliari
    Period6/09/058/09/05

    Fingerprint

    Dive into the research topics of 'Qualitative real-time range extraction for preplanned scene partitioning using laser beam coding'. Together they form a unique fingerprint.

    Cite this