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Vision based simultaneous localization and mapping (SLAM) has recently received much research interest. However, vision based SLAM could be corrupted with the inclusion of moving entities, which makes it hard to operate in dynamic environments. Simultaneous localization, mapping and moving object tracking (SLAMMOT) serves as a solution to deal with moving objects while performing SLAM. The existing...
The mobile robot that works in dynamic environment must have strong ability of avoiding obstacles especially moving objects and move to it original goal. To achieve the goal, the dynamic polar coordinate environment model based on laser range finder is set up, which can not only simplify the environment description but also improve the responding ability. Based on these data a moving object tracking...
Self-localization and tracking a moving object is a key technology for service robot interactive applications. Most tracking algorithms focus on how to correctly estimate the acceleration, velocity, and position of the moving objects based on the prior states and sensor information. What has not been studied so far is tracking the partially observable moving object which is often hidden from a robot's...
This paper addresses a hybrid neural-PID control scheme to nonlinear system for real-time robotic visual tracking of a moving object. By using the motion rules of the CCD camera and the object, the equations of observation and state-space are given. Then, the system can be represented as an MIMO ARMAX model and an efficient estimation model. The adaptive optimal predictor can process on-line estimation...
According to the different color information of the different component in Hue-Saturation-Intensity color model, combining and ameliorating several basal arithmetics, we present a new method based on both shape and color information of the moving object. Experiments show the effectivity and feasibility of the method. And it also shows good anti-jamming quality in all experiments. Though our method...
A major issue in the field of mobile robotics today is the detection and tracking of moving objects (DATMO) from a moving observer. In dynamic and highly populated environments, this problem presents a complex and computationally demanding task. It can be divided in sub-problems such as robot's relative motion compensation, feature extraction, measurement clustering, data association and targets'...
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