Improvement of driver night vision in foggy environments by structured light projection

Benito, Jaime Quintana; Fernández-Balbuena, Antonio Álvarez; Antón, Juan Carlos Martínez; Molini, Daniel Váquez

doi:10.1016/j.heliyon.2022.e11877

Cited by 1 publication

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TOF cameras exhibit lower noise at longer distances and boast higher frame rates, rendering them more suitable for dynamic scenes [ 16 ]. Structured-light technology is power-efficient, mature, and better suited to static scenes [ 17 ]. Live body dimension intelligent measurement in the livestock domain primarily occurs in dynamic environments, making TOF cameras a more suitable choice due to their capacity to meet the data acquisition requirements, especially for such scenarios.…”

Section: Raw Sensing Data Acquisition For Live Livestock Body Dimensionsmentioning

confidence: 99%

Computer-Vision-Based Sensing Technologies for Livestock Body Dimension Measurement: A Survey

Ma,

Sun,

et al. 2024

Sensors

View full text Add to dashboard Cite

Livestock’s live body dimensions are a pivotal indicator of economic output. Manual measurement is labor-intensive and time-consuming, often eliciting stress responses in the livestock. With the advancement of computer technology, the techniques for livestock live body dimension measurement have progressed rapidly, yielding significant research achievements. This paper presents a comprehensive review of the recent advancements in livestock live body dimension measurement, emphasizing the crucial role of computer-vision-based sensors. The discussion covers three main aspects: sensing data acquisition, sensing data processing, and sensing data analysis. The common techniques and measurement procedures in, and the current research status of, live body dimension measurement are introduced, along with a comparative analysis of their respective merits and drawbacks. Livestock data acquisition is the initial phase of live body dimension measurement, where sensors are employed as data collection equipment to obtain information conducive to precise measurements. Subsequently, the acquired data undergo processing, leveraging techniques such as 3D vision technology, computer graphics, image processing, and deep learning to calculate the measurements accurately. Lastly, this paper addresses the existing challenges within the domain of livestock live body dimension measurement in the livestock industry, highlighting the potential contributions of computer-vision-based sensors. Moreover, it predicts the potential development trends in the realm of high-throughput live body dimension measurement techniques for livestock.

show abstract

Section: Raw Sensing Data Acquisition For Live Livestock Body Dimensionsmentioning

confidence: 99%

Computer-Vision-Based Sensing Technologies for Livestock Body Dimension Measurement: A Survey

Ma,

Sun,

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Improvement of driver night vision in foggy environments by structured light projection

Cited by 1 publication

References 23 publications

Computer-Vision-Based Sensing Technologies for Livestock Body Dimension Measurement: A Survey

Computer-Vision-Based Sensing Technologies for Livestock Body Dimension Measurement: A Survey

Contact Info

Product

Resources

About