The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform

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

Dieter Hoetzer - One of the best experts on this subject based on the ideXlab platform.

  • Pedestrian detection in near-infrared Night Vision system
    IEEE Intelligent Vehicles Symposium Proceedings, 2010
    Co-Authors: Yun Luo, Jeffrey Remillard, Dieter Hoetzer
    Abstract:

    Several premium automotive brands offer Night Vision systems to enhance the driver's ability to see at Night. Most recent generation Night Vision systems have added pedestrian detection as a feature to assist drivers to avoid potential collisions. This paper reviews pedestrian detection based on two different sensing technologies: active Night Vision operating in the near-infrared (NIR) region of the electromagnetic spectrum, and passive Night Vision operating in the far-infrared (FIR) spectrum. It also discusses the pros and cons of each type of Night-Vision system with-respect-to the pedestrian detection capability, the effectiveness for collision avoidance, and the commercial attractiveness. The paper introduces an enhancement to the NIR active lighting scheme that significantly improves the pedestrian detection performance. With improved pedestrian detection performance, we argue that the NIR Night Vision system is more effective at improving Night-time driving safety and may achieve broader market acceptance.

  • Intelligent Vehicles Symposium - Pedestrian detection in near-infrared Night Vision system
    2010 IEEE Intelligent Vehicles Symposium, 2010
    Co-Authors: Yun Luo, Jeffrey Remillard, Dieter Hoetzer
    Abstract:

    Several premium automotive brands offer Night Vision systems to enhance the driver's ability to see at Night. Most recent generation Night Vision systems have added pedestrian detection as a feature to assist drivers to avoid potential collisions. This paper reviews pedestrian detection based on two different sensing technologies: active Night Vision operating in the near-infrared (NIR) region of the electromagnetic spectrum, and passive Night Vision operating in the far-infrared (FIR) spectrum. It also discusses the pros and cons of each type of Night-Vision system with-respect-to the pedestrian detection capability, the effectiveness for collision avoidance, and the commercial attractiveness. The paper introduces an enhancement to the NIR active lighting scheme that significantly improves the pedestrian detection performance. With improved pedestrian detection performance, we argue that the NIR Night Vision system is more effective at improving Night-time driving safety and may achieve broader market acceptance.

Yun Luo - One of the best experts on this subject based on the ideXlab platform.

  • Pedestrian detection in near-infrared Night Vision system
    IEEE Intelligent Vehicles Symposium Proceedings, 2010
    Co-Authors: Yun Luo, Jeffrey Remillard, Dieter Hoetzer
    Abstract:

    Several premium automotive brands offer Night Vision systems to enhance the driver's ability to see at Night. Most recent generation Night Vision systems have added pedestrian detection as a feature to assist drivers to avoid potential collisions. This paper reviews pedestrian detection based on two different sensing technologies: active Night Vision operating in the near-infrared (NIR) region of the electromagnetic spectrum, and passive Night Vision operating in the far-infrared (FIR) spectrum. It also discusses the pros and cons of each type of Night-Vision system with-respect-to the pedestrian detection capability, the effectiveness for collision avoidance, and the commercial attractiveness. The paper introduces an enhancement to the NIR active lighting scheme that significantly improves the pedestrian detection performance. With improved pedestrian detection performance, we argue that the NIR Night Vision system is more effective at improving Night-time driving safety and may achieve broader market acceptance.

  • Intelligent Vehicles Symposium - Pedestrian detection in near-infrared Night Vision system
    2010 IEEE Intelligent Vehicles Symposium, 2010
    Co-Authors: Yun Luo, Jeffrey Remillard, Dieter Hoetzer
    Abstract:

    Several premium automotive brands offer Night Vision systems to enhance the driver's ability to see at Night. Most recent generation Night Vision systems have added pedestrian detection as a feature to assist drivers to avoid potential collisions. This paper reviews pedestrian detection based on two different sensing technologies: active Night Vision operating in the near-infrared (NIR) region of the electromagnetic spectrum, and passive Night Vision operating in the far-infrared (FIR) spectrum. It also discusses the pros and cons of each type of Night-Vision system with-respect-to the pedestrian detection capability, the effectiveness for collision avoidance, and the commercial attractiveness. The paper introduces an enhancement to the NIR active lighting scheme that significantly improves the pedestrian detection performance. With improved pedestrian detection performance, we argue that the NIR Night Vision system is more effective at improving Night-time driving safety and may achieve broader market acceptance.

Peter L. Marasco - One of the best experts on this subject based on the ideXlab platform.

  • Liquid crystal modulated optical amplifier for Night Vision imaging
    Liquid Crystals XII, 2008
    Co-Authors: Alexander V. Parfenov, X. Winston Xia, Indra Tengara, Tin Win, Jason Holmstedt, Neven Rakuljic, Tin M. Aye, Mathew W. Swinney, Peter L. Marasco
    Abstract:

    Image intensifier tubes, as part of Night Vision devices, have been the primary devices for the detection and amplification of near infrared light for Night Vision operations. In this paper, we demonstrate a novel all-optical Night Vision amplifier device with a potential to replace the image intensifier tube in Night Vision goggles. This image amplifier is based on a novel structure of semiconductor and spectrally tunable liquid crystal (LC) materials within a thin cell. The LC reacts to near-infrared (NIR) radiation but is unaffected by visible light, allowing see-through capability including visible-wavelength cockpit light. The technology is made very attractive by its high sensitivity, spatial resolution, and contrast without expensive, bulky, and heavy optics or high-voltage components.

  • Optical Characterization of Wide Field-of-View Night Vision Devices
    1999
    Co-Authors: Peter L. Marasco, Harry L. Task
    Abstract:

    Abstract : An advanced Night Vision device, the Panoramic Night Vision Goggle (PNVG), presents the wearer with a large horizontal field of view (100 degrees) by combining the output from multiple image intensifier tubes. This significantly complicates the testing and evaluation of this state-of-the-art device. Current tests were considered insufficient and required modification to fully characterize conventional Night Vision device parameters. In addition, new tests were required to characterize parameters unique to the current PNVG design. This paper discusses the optical performance testing of the PNVG, concentrating primarily on four Night-Vision-device parameters: field of view, visual acuity, eyepiece diopter setting, and image discontinuity.

  • Methods for Measuring Characteristics of Night Vision Goggles
    1993
    Co-Authors: Harry L. Task, Peter L. Marasco, Richard T Hartman, Annette R Zobel
    Abstract:

    Abstract : There are many parameters that are used to describe and specify Night Vision goggles (NVGs) such as resolution, field of view, brightness gain, distortion, etc. However, standardized test procedures for determining the value of these parameters have not been established. Informal comparison studies have shown that measurements of some of these parameters may vary considerably (as much as a factor of two) depending on the method, equipment, and procedures used to make the measurements. The purpose of this technical report is to document specific procedures for measuring most of the major parameters used to specify NVGs to help standardize methodology and improve accuracy and comparability between measuring organizations. Night Vision devices, Optical evaluation, Night Vision goggles, Measurement methods, Optical test methods.

K Fujimura - One of the best experts on this subject based on the ideXlab platform.

  • pedestrian detection using stereo Night Vision
    IEEE Transactions on Vehicular Technology, 2004
    Co-Authors: Xia Liu, K Fujimura
    Abstract:

    A method is presented for pedestrian detection using a stereo Night-Vision system installed on the vehicle. Much of the work in this area makes use of shape information. The proposed method detects moving objects whose motions are not consistent with the movement of the background and is considered to be complementary to shape-based approaches. In this paper, two new techniques are introduced for this task for Night Vision, namely a two-stage method for stereo correspondence and motion detection without explicit ego-motion calculation. These techniques make use of characteristics of Night-Vision video data, in which humans appear as hotspots. This method works well in cases where the camera motion has a dominant translational motion with a small amount of rotational motion, which is suitable for the camera on the vehicle. Error analysis as well as experimental results are presented to validate our approach and comparisons have been carried out between our approach and frame-by-frame based pattern-recognition approaches.