2016
DOI: 10.1016/j.jnca.2015.11.018
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Using a wireless visual sensor network to harmonically navigate multiple low-cost wheelchairs in an indoor environment

Abstract: Harmonic navigation of multiple low-cost robotic wheelchairs in a topology of wireless sensor nodes that are deployed in a dynamic and crowded indoor environment is a Non-deterministic Polynomial-time hard (NP-hard) problem. To address this problem, we propose a distributed multi-wheelchair global harmonic navigation algorithm. The distinguishing features of the proposed navigation algorithm are global search and local conflict resolution abilities. In the proposed algorithm, a travel time prediction method ad… Show more

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Cited by 5 publications
(2 citation statements)
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“…In the previous works of sensor network based collision-free navigation, camera sensor network is one of the common types of sensor networks used for obstacle detection; see [177,23,203]. In the work [177], a harmonic navigation algorithm for multiple ground wheelchair robots is presented by using wireless sensor nodes, which are deployed in dynamic indoor environments. The sensor network used in [177] consists of some cameras.…”
Section: Sensor Network Based Navigation Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the previous works of sensor network based collision-free navigation, camera sensor network is one of the common types of sensor networks used for obstacle detection; see [177,23,203]. In the work [177], a harmonic navigation algorithm for multiple ground wheelchair robots is presented by using wireless sensor nodes, which are deployed in dynamic indoor environments. The sensor network used in [177] consists of some cameras.…”
Section: Sensor Network Based Navigation Algorithmsmentioning
confidence: 99%
“…In the work [177], a harmonic navigation algorithm for multiple ground wheelchair robots is presented by using wireless sensor nodes, which are deployed in dynamic indoor environments. The sensor network used in [177] consists of some cameras. The location of the wheelchairs and the occupied area are estimated by the image process.…”
Section: Sensor Network Based Navigation Algorithmsmentioning
confidence: 99%