Three-dimensional acoustic localisation via directed movements of a two-dimensional model of the lizard peripheral auditory system

Shaikh, Danish; Schmidt, Michael Kjar

doi:10.1109/iris.2017.8250093

Cited by 1 publication

(1 citation statement)

References 30 publications

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“…The ultrasonic sensor has a US−100 ultrasonic ranging module with a non-contact ranging function of 2 cm-4.5 m that can be used to assist the WCV avoid obstacles. The two-dimensional images captured by the camera can be used to infer physical information of the three-dimensional world as well as identifying the waste bin and confirming the collection point's location [59]. The automatic WCV is implanted with an IMU + encoder and IMU + GPS positioning system to control its positioning accurately.…”

Section: Environment Awareness and Location Modulementioning

confidence: 99%

An Intelligent Waste Removal System for Smarter Communities

Zhang

Wan

et al. 2020

Sustainability

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With the continuous progress of urbanization, the discharge of municipal solid waste has profoundly affected human production/living and social ecological health, and waste disposal has become one of the key issues all over the world. In the context of intelligent technology, this paper innovates the way of waste disposal according to the development direction of a smart city and the requirement of sustainable development strategy. An intelligent urban waste removal system is developed using a ROS (Route Operation System) robot operating system and RRT (Rapid Exploration of Random Trees) path planning algorithm. With a background of data management, the entire process of intelligent automatic waste removal is triggered by automatic communication from individual waste bins to a waste collection vehicle (WCV) where the bin needs to be emptied, and the automatic collection and transportation by the WCV in response. In combination with the IoT (Internet of Things), the system provides scientific data support for the intelligent layout of communities and even urban waste bins to greatly enhance the development of intelligence communities and smart cities.

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Section: Environment Awareness and Location Modulementioning

confidence: 99%