Illuminators

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Victor Arrizón - One of the best experts on this subject based on the ideXlab platform.

Jorge Ojedacastaneda - One of the best experts on this subject based on the ideXlab platform.

Larry Matthies - One of the best experts on this subject based on the ideXlab platform.

  • cubic range error model for stereo vision with Illuminators
    International Conference on Robotics and Automation, 2018
    Co-Authors: Marius Huber, Timo Hinzmann, Roland Siegwart, Larry Matthies
    Abstract:

    Use of low-cost depth sensors, such as a stereo camera setup with Illuminators, is of particular interest for numerous applications ranging from robotics and transportation to mixed and augmented reality. The ability to quantify noise is crucial for these applications, e.g., when the sensor is used for map generation or to develop a sensor scheduling policy in a multi-sensor setup. Range error models provide uncertainty estimates and help weigh the data correctly in instances where range measurements are taken from different vantage points or with different sensors. Such a model is derived in this work. We show that the range error for stereo systems with integrated Illuminators is cubic and validate the proposed model experimentally with an off-the-shelf structured light stereo system. The experiments confirm the validity of the model and simplify the application of this type of sensor in robotics.

  • cubic range error model for stereo vision with Illuminators
    arXiv: Computer Vision and Pattern Recognition, 2018
    Co-Authors: Marius Huber, Timo Hinzmann, Roland Siegwart, Larry Matthies
    Abstract:

    Use of low-cost depth sensors, such as a stereo camera setup with Illuminators, is of particular interest for numerous applications ranging from robotics and transportation to mixed and augmented reality. The ability to quantify noise is crucial for these applications, e.g., when the sensor is used for map generation or to develop a sensor scheduling policy in a multi-sensor setup. Range error models provide uncertainty estimates and help weigh the data correctly in instances where range measurements are taken from different vantage points or with different sensors. The weighing is important to fuse range data into a map in a meaningful way, i.e., the high confidence data is relied on most heavily. Such a model is derived in this work. We show that the range error for stereo systems with integrated Illuminators is cubic and validate the proposed model experimentally with an off-the-shelf structured light stereo system. The experiments confirm the validity of the model and simplify the application of this type of sensor in robotics. The proposed error model is relevant to any stereo system with low ambient light where the main light source is located at the camera system. Among others, this is the case for structured light stereo systems and night stereo systems with headlights. In this work, we propose that the range error is cubic in range for stereo systems with integrated Illuminators. Experimental validation with an off-the-shelf structured light stereo system shows that the exponent is between 2.4 and 2.6. The deviation is attributed to our model considering only shot noise.

Hui-tian Wang - One of the best experts on this subject based on the ideXlab platform.

  • Phase contrast Talbot array Illuminators
    Optics Letters, 2008
    Co-Authors: Ling Li, Jianping Ding, Hui-tian Wang
    Abstract:

    We propose a method for designing an improved phase-only Talbot array illuminator, called a phase contrast Talbot array illuminator (PCTAI), which could be used to generate an array of spots with a special intensity structure and high efficiency. As examples, we designed two types of PCTAIs for generating an array of line and hollow spots, respectively. Some experimental results revealing the phase contrast effect and demonstrating the feasibility of the PCTAIs are also given.

Wolfgang Koch - One of the best experts on this subject based on the ideXlab platform.

  • tracking in multistatic passive radar systems using dab dvb t illumination
    Signal Processing, 2012
    Co-Authors: Martina Daun, Ulrich Nickel, Wolfgang Koch
    Abstract:

    A multistatic passive radar system exploits Illuminators of opportunity like radio or television transmitters for target surveillance. In this paper we analyze the use of the illumination of television or radio stations broadcasting digital signals (DAB/DVB-T) from a target tracking view point. An important characteristic of this type of Illuminators is the joint operation of several Illuminators in a single frequency network (SFN). As a consequence it is a priori unknown which measurement belongs to which illuminator. This property expands the typical association task of associating measurements with targets by the task of associating measurements with Illuminators. In this paper we present a comprehensive concept for target tracking in DAB/DVB-T networks accounting for the characteristics of this signal. The derived algorithms will be tested with respect to numerical simulations including a sensitivity study for parameter mismatch between simulations and tracking model.