Localization and navigation play a key role in many location-based services have attracted numerous research efforts from both academic industrial community. In recent years, visual SLAM has been prevailing for robots autonomous driving cars. However, the ever-growing computation resource demanded by impedes its application to resource-constrained mobile devices. this paper we present design, implementation, evaluation of edgeSLAM, an edge assisted real-time semantic service running on...

Ubiquitous connectivity among objects is the future of coming Internet Things era. Technologies are competing fiercely to fulfill this goal, but none them can fit into all application scenarios. However, efforts still made expand ranges certain technologies. Shortly after adoption its newest version, Bluetooth 5.0, Special Interest Group released another new specification on network topology: Mesh. Combined together, those two bring a brand stage. current works related it only focus part...

Edge computing, an extension of cloud is introduced to provide sufficient computing and storage resources for mobile devices. Moreover, a series tasks in device are set as structured processes flows achieve effective management by the workflow. However, execution uncertainty caused performance degradation, service failure, new additions remains huge challenge user's experience. In order address uncertainty, software-defined network (SDN)-based edge framework dynamic resource provisioning...

Localization and navigation play a key role in many location-based services have attracted numerous research efforts. In recent years, visual SLAM has been prevailing for autonomous driving. However, the ever-growing computation resources demanded by impede its applications to resource-constrained mobile devices. this paper, we present design, implementation, evaluation of <i>edgeSLAM</i>, an edge-assisted real-time semantic service running on <i>edgeSLAM</i> leverages state-of-the-art...

Fast and accurate obstacle avoidance is crucial to drone safety. Yet existing on-board sensor modules such as frame cameras radars are ill-suited for doing so due their low temporal resolution or limited field of view. This paper presents BioDrone, a new design paradigm using stereo event cameras. At the heart BioDrone two simple yet effective system inspired by mammalian visual system, namely, chiasm-inspired signal processing pipeline fast filtering detection, lateral geniculate nucleus...

Time-Sensitive Networking (TSN) is the most promising network technology for Industry 4.0. A series of IEEE standards on TSN introduce deterministic transmission into standard Ethernet. Under current paradigm, can only schedule time-triggered critical traffic (TCT), neglecting other type in industrial cyber physical systems, i.e., event-triggered (ECT). So this work, we propose a new paradigm scheduling named E-TSN, which provide both TCT and ECT. The three techniques probabilistic stream,...

Flexible manufacturing is one of the core goals Industry 4.0 and brings new challenges to current industrial control systems. Our detailed field study on auto glass industry revealed that existing production lines are laborious reconfigure, difficult upscale, costly upgrade during switching. Such inflexibility arises from tight coupling devices, controllers, tasks. In this work, we propose a architecture for systems named Control-as-a-Service (CaaS). CaaS transfers distributes tasks...

The edge-based multi-agent visual SLAM is crucial for emerging mobile applications like search-and-rescue, inventory automation, and industrial inspection. It uses a central node to manage the global map schedule tasks agents. However, as number of agents increases, system faces scalability challenges due operational overhead, such data redundancy, bandwidth consumption, localization errors. In this paper, we introduce, framework designed enhance collaborative service in edge offloading...

AbstractAs grid technique is growing rapidly in recent years, large-scale systems usually have the capability of providing flexible, secure, coordinated resource-sharing and problem solving among dynamic virtual organizations. Grid resource discovery (GRD) one crucial issues whole system models strategies a vital influence on performance systems. In this paper, definition principles GRD are explained first. Then, several existing models, namely centralized, hierarchical, Peer-to-Peer...

Location awareness in environments is one of the key parts for drones' applications and have been explored through various visual sensors. However, standard cameras easily suffer from motion blur under high moving speeds low-quality image poor illumination, which brings challenges drones to perform tracking. Recently, a kind bio-inspired sensors called event emerge, offering advantages like temporal resolution, dynamic range low latency, motivate us explore their potential tracking limited...

Completely Fair Schedule (CFS) is a main scheduling algorithm in nowadays Linux based system. For multicore computer system, the CFS boosts performance through load balance among running tasks. In this paper, we analysis implementation of scheduler environment, and then do experiments to evaluate for The experimental results show that successfully does task multiple tasks obtains good at same time.

Agricultural robots must navigate challenging dynamic and semi-structured environments. Recently, environmental modeling using LiDAR-based SLAM has shown promise in providing highly accurate geometry. However, how this chaotic information can be used to achieve effective robot automation the agricultural sector remains unexplored. In study, we propose a novel semantic mapping navigation framework for achieving robotic autonomy orchards. It consists of two main components: processing module...