The positioning and navigation system on latitude and longitude map using IRNSS user receiver

Bagali, Mohmad Umair; Reddy, Naveen Kumar; Dias, Ryan; Thangadurai, N.

doi:10.1109/icaccct.2016.7831613

Cited by 8 publications

(1 citation statement)

References 5 publications

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“…The data sources used in the sensor fusion-positioning test of the automatic WCV are Qianxun RTK decimeter GPS/Beidou module positioning data (1 Hz frequency), and the IMU poses data (10 Hz frequency). The original GPS positioning data and fusion-positioning data are converted into longitude and latitude format and marked on the Baidu map [66], and the trajectory of positioning data is compared. The test route of the WCV and the associated positioning data collected are shown in Figure 17.…”

Section: Imu and Gps Fusion-positioning Testmentioning

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: Imu and Gps Fusion-positioning Testmentioning

confidence: 99%