Search Results - "Parr, Baden"

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  1. 1

    Grape Maturity Estimation Using Time-of-Flight and LiDAR Depth Cameras by Legg, Mathew, Parr, Baden, Pascual, Genevieve, Alam, Fakhrul

    Published in Sensors (Basel, Switzerland) (07-08-2024)
    “…This article investigates the potential for using low-cost depth cameras to estimate the maturity of green table grapes after they have been harvested…”
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    Journal Article
  2. 2

    Analysis of Depth Cameras for Proximal Sensing of Grapes by Parr, Baden, Legg, Mathew, Alam, Fakhrul

    Published in Sensors (Basel, Switzerland) (31-05-2022)
    “…This work investigates the performance of five depth cameras in relation to their potential for grape yield estimation. The technologies used by these cameras…”
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    Journal Article
  3. 3

    Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array by Parr, Baden, Legg, Mathew, Bradley, Stuart, Alam, Fakhrul

    Published in Sensors (Basel, Switzerland) (20-03-2021)
    “…Grape yield estimation has traditionally been performed using manual techniques. However, these tend to be labour intensive and can be inaccurate. Computer…”
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    Journal Article
  4. 4

    CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection by Faulkner, Nathaniel, Parr, Baden, Alam, Fakhrul, Legg, Mathew, Demidenko, Serge

    Published in IEEE access (2020)
    “…Passive indoor positioning, also known as Device-Free Localization (DFL), has applications such as occupancy sensing, human-computer interaction, fall…”
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    Journal Article
  5. 5

    Visible Light Positioning Based on Calibrated Propagation Model by Alam, Fakhrul, Parr, Baden, Mander, Susan

    Published in IEEE sensors letters (01-02-2019)
    “…This article reports the experimental results of a novel visible light positioning system using a calibrated propagation model. The developed positioning…”
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    Journal Article
  6. 6

    Falcon: Fused Application of Light Based Positioning Coupled With Onboard Network Localization by Konings, Daniel, Parr, Baden, Alam, Fakhrul, Lai, Edmund M.-K.

    Published in IEEE access (01-01-2018)
    “…Indoor localization based on visible light and visible light communication has become a viable alternative to radio frequency wireless-based techniques. Modern…”
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    Journal Article
  7. 7

    Grape yield estimation with a smartphone’s colour and depth cameras using machine learning and computer vision techniques by Parr, Baden, Legg, Mathew, Alam, Fakhrul

    Published in Computers and electronics in agriculture (01-10-2023)
    “…A smartphone with both colour and time of flight depth cameras is used for automated grape yield estimation of Chardonnay grapes. A new technique is developed…”
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    Journal Article
  8. 8

    Device-Free Localization: A Review of Non-RF Techniques for Unobtrusive Indoor Positioning by Alam, Fakhrul, Faulkner, Nathaniel, Parr, Baden

    Published in IEEE internet of things journal (15-03-2021)
    “…Accurate, reliable indoor localization or positioning is the key enabler for location-based services. Indoor localization can be broadly classified into two…”
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    Journal Article
  9. 9

    Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring by Ali, Sharafat, Glass, Tyrel, Parr, Baden, Potgieter, Johan, Alam, Fakhrul

    “…Air pollution poses significant risk to environment and health. Air quality monitoring stations are often confined to a small number of locations due to the…”
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    Journal Article
  10. 10

    Development of a Hand-held 3D Scanning Acoustic Camera by Parr, Baden, Legg, Mathew, Cox, Steven

    “…Traditionally, acoustic cameras have used a fixed 2D near-field scanning plane for localising noise sources. This has been shown to cause errors in captured…”
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    Conference Proceeding
  11. 11

    IoT Enabled Low Cost Air Quality Sensor by Glass, Tyrel, Ali, Sharafat, Parr, Baden, Potgieter, Johan, Alam, Fakhrul

    “…Air pollution poses significant risks to environment and health. Air quality monitoring stations are often confined to a small number of locations due to the…”
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    Conference Proceeding
  12. 12

    Device Free Localization with Capacitive Sensing Floor by Faulkner, Nathaniel, Parr, Baden, Alam, Fakhrul, Legg, Mathew, Demidenko, Serge

    “…Passive indoor positioning has many applications including intrusion detection, fall detection of the elderly, and occupancy sensing to name a few. However,…”
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    Conference Proceeding
  13. 13

    Acoustic Identification of Grape Clusters Occluded by Foliage by Parr, Baden, Legg, Mathew, Alam, Fakhrul, Bradley, Stuart

    “…The performance of a vineyard can be influenced by accurate yield estimations prior to harvest. Traditionally, this is a manual process. However, due to the…”
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    Conference Proceeding
  14. 14

    Mechanical Requirements for a Smart Inhaler Product by Beckley, Amelia, Parr, Baden, Mathrani, Sanjay, Legg, Matthew, Drain, Andrew

    “…Asthma and other respiratory diseases are a significant problem for the New Zealand health sector. There are several factors that make asthma treatment…”
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    Conference Proceeding
  15. 15

    Early Warning System with Real Time Tilt Monitoring by Parr, Baden, Konings, Daniel, Legg, Mathew, Alam, Fakhrul

    “…Remote sensing is becoming popular for real time monitoring of a wide variety of objects and phenomena like assets, structural health, ambient air quality…”
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    Conference Proceeding
  16. 16

    Real-time acoustic analysis for flow rate estimation in a medical aerosol application by Pangputt, Peony, Parr, Baden, Demidenko, Serge, Drain, Andrew

    “…Aerosol delivery of the medication into the lungs is a non-invasive method providing instantaneous therapy to human patients while offering minimal risks of…”
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    Conference Proceeding
  17. 17

    HVLP: Hybrid visible light positioning of a mobile robot by Konings, Daniel, Parr, Baden, Waddell, Caleb, Alam, Fakhrul, Arif, Khalid Mahmood, Lai, Edmund M.-K

    “…In recent years energy efficient LEDs have become a commonplace lighting solution. It is possible to create an indoor positioning system (IPS) from existing…”
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    Conference Proceeding