FlexEye &amp;#x2014; A flexible camera mote for sensor networks

Anupama, K. R.; Reddy, Ch. S. Sankhar; Shenoy, Meetha V.

doi:10.1109/spin.2015.7095332

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Vision sensors aids in overcoming major limitations in autonomous docking during reconfiguration in both 2D and 3D scenarios and also automating the aggregation and dispersion processes. The major requirements of the modular robotics electronic platforms such as low power consumption, various power modes and reactiveness along with image processing capabilities are fulfilled by FlexEye platform proposed in [52] and the same platform is utilized (without transceiver) for identifying the error in alignment process during docking. The vision sensor recognizes an area of interest and calculates the alignment error between male and female interfaces with respect to its camera axis as shown in Figure 7.…”

Section: Vision Systemmentioning

confidence: 99%

HexaMob—A Hybrid Modular Robotic Design for Implementing Biomimetic Structures

et al. 2017

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Modular robots are capable of forming primitive shapes such as lattice and chain structures with the additional flexibility of distributed sensing. The biomimetic structures developed using such modular units provides ease of replacement and reconfiguration in co-ordinated structures, transportation etc. in real life scenarios. Though the research in the employment of modular robotic units in formation of biological organisms is in the nascent stage, modular robotic units are already capable of forming such sophisticated structures. The modular robotic designs proposed so far in modular robotics research vary significantly in external structures, sensor-actuator mechanisms interfaces for docking and undocking, techniques for providing mobility, coordinated structures, locomotions etc. and each robotic design attempted to address various challenges faced in the domain of modular robotics by employing different strategies. This paper presents a novel modular wheeled robotic design -HexaMob facilitating four degrees of freedom (2 degrees for mobility and 2 degrees for structural reconfiguration) on a single module with minimal usage of sensor-actuator assemblies. The crucial features of modular robotics such as back-driving restriction, docking, and navigation are addressed in the process of HexaMob design. The proposed docking mechanism is enabled using vision sensor, enhancing the capabilities in docking as well as navigation in co-ordinated structures such as humanoid robots.

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Section: Vision Systemmentioning

confidence: 99%

HexaMob—A Hybrid Modular Robotic Design for Implementing Biomimetic Structures

et al. 2017

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“…The emergence of low-cost and low-power visual modules [1,2,3] fostered the development of wireless video sensor networks (WVSN) and paved the way to a plethora of applications mainly in monitoring and surveillance fields. WVSNs generate unique challenging problems as the capture, the encoding and the transmission of video flows are resource-hungry while the underlying network is constrained in terms of energy, bandwidth, processing and storage means.…”

Section: Introductionmentioning

confidence: 99%

SenseVid : A traffic trace based tool for QoE Video transmission assessment dedicated to Wireless Video Sensor Networks

Maimour

2018

Simulation Modelling Practice and Theory

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Video applications are being a key component to enhance traditional wireless sensor networks (WSN) applications. As a result, sensor network researchers need adequate and easy to use tools to assess the performances of their proposals. The existing transmission evaluation tools either consider video sequences along with codecs that are unsuitable for WSNs or make use of low cost compression methods for still images without inter-frame coding required for efficient video transmission. In this paper, we present SenseVid, an open source video transmission and evaluation tool that considers WSN specific characteristics. Besides low energy intra-frame compression based on fast pruned discrete cosine transform (DCT), a low complexity inter-frame encoding is provided to allow efficient support of video flows. A configurable fine-grain energy model is provided where both video capture and encoding cost are accounted for on a per frame basis. Video traffic differentiation based on priority levels is also provided. SenseVid adopts the video traffic traces approach, allowing its use in any simulation or real testbed environment. Using SenseVid, the user is able to reconstruct the received video considering lost packets during its transmission as well as estimating the achieved quality of service (QoS) and quality of experience (QoE).

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