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  • In Jour Smart Sensing And Intelligent Systems

 

Article

PARTICLE FILTER ON NONLINEAR VIBRATION SIGNAL OF BRIDGE STAYED CABLE

For the nonlinear vibration signal of stayed cables, a new particle filter algorithm is used in this paper. Firstly, nonlinear dynamic model of the stayed-cable and beam coupling system is dispersed in temporal dimension by using the finite difference method. So the discrete nonlinear vibration equation of any cable element is gotten. And secondly, a state equation of particle filter is fitted by least square algorithm from the discrete nonlinear vibration equation. So the particle filter

Ye Qingwei, Yuan Debin, Zhou Yu, Wang Xiaodong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 940–956

Article

GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE TRACKING: DEVELOPMENT OF INTELLIGENT TRAFFIC SYSTEM IN JAKARTA

which aimed to develop enabling technology especially in here for tracking motorcycle using camera. This paper is presented our proposed tracker which called as Geometric Deep Particle Filter (GDPF) for tracking motorcycle using camera. The tracker is inspired by human visual perception which has nonretinotopic nature. Based on particle filter approach, our goal is to improve the transition model in order to overcome motorcycle maneuver. We will exploit this curved nature of the state space using

Alexander A S Gunawan, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 429–463

Article

IMPROVING THE LOCALIZATION OF ELECTRIC WHEELCHAIR BY USING PARTICLE FILTER

system composed by two electronic cards, based on microcontrollers CB405 and PIC16F877 for the signal acquisition from the encoders and distance measurements from ultrasonic sensors (SRF08 and SRF04). The ultrasonic sensors used to improve the localization when we use an automatic control system. Several techniques exist for sensors fusion solves the problems of mobile robots localization. Among these methods, we can quote the particle filter that use data from the encoders and measures from the

Malek Njah, Mohamed Jallouli

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1922–1942

Article

Spatial-temporal Collaborative Sequential Monte Carlo for Mobile Robot Localization in Distributed Intelligent Environments

In this paper, a spatial-temporal collaborative sequential Monte Carlo architecture for mobile robot localization is designed to well suites intelligent environment for service robotic system. A proposed algorithm, namely Distributed Proportional Allocation-Augmented Particle Filter (DPA-APF), resolves the sensor collaboration problem by the processes of augmented sampling, inter-node resampling, inner-node resampling and particle exchange. These procedures exploit data parallelism and

Kun Qian, Xudong Ma, Xian Zhong Dai, Fang Fang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 295–314

Research Article

SOCIALLY ACCEPTABLE SMART WHEELCHAIR NAVIGATION FROM HEAD ORIENTATION OBSERVATION

Robotic wheelchairs should move among humans without bringing about uncomfortable situation to them. This paper tackles this issue to propose a method of navigation in indoor environments with presence of humans based on the observation of head information obtained from color and range images. Initially head regions in the color image are tracked and their orientations are estimated using AdaBoost based particle filter trained to classify multiple-pose faces. Then the head orientation data are

Razali Tomari, Yoshnori Kobayashi, Yoshinori Kuno

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 630–643

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