Object Detection for Agricultural and Construction Environments Using an Ultrasonic Sensor
Autor: | Marvin L. Stone, Joseph S. Dvorak, Kelvin P. Self |
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Rok vydání: | 2016 |
Předmět: |
Engineering
Injury control Poison control Surface finish 010501 environmental sciences 01 natural sciences Dog model Dogs 0502 economics and business Animals Humans Ultrasonics Computer vision Safety Risk Reliability and Quality Simulation 0105 earth and related environmental sciences business.industry Construction Industry 05 social sciences Public Health Environmental and Occupational Health Agriculture Object (computer science) Oriented strand board Object detection Ultrasonic sensor Artificial intelligence General Agricultural and Biological Sciences business 050203 business & management |
Zdroj: | Journal of Agricultural Safety and Health. 22:107-119 |
ISSN: | 1943-7846 1074-7583 |
Popis: | This study tested an ultrasonic sensor‘s ability to detect several objects commonly encountered in outdoor agricultural or construction environments: a water jug, a sheet of oriented strand board (OSB), a metal fence post, a human model, a wooden fence post, a Dracaena plant, a juniper plant, and a dog model. Tests were performed with each target object at distances from 0.01 to 3 m. Five tests were performed with each object at each location, and the sensor‘s ability to detect the object during each test was categorized as “undetected,†“intermittent,†“incorrect distance,†or “good.†Rigid objects that presented a larger surface area to the sensor, such as the water jug and OSB, were better detected than objects with a softer surface texture, which were occasionally not detected as the distance approached 3 m. Objects with extremely soft surface texture, such as the dog model, could be undetected at almost any distance from the sensor. The results of this testing should help designers of future systems for outdoor environments, as the target objects tested can be found in nearly any agricultural or construction environment. |
Databáze: | OpenAIRE |
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