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The EU funded project RADIO brings forward a new health care paradigm according to which a mobile robot platform can act as assistant to an elderly person in his/her domestic environment. Under this context, unobtrusiveness is of paramount importance since the robot should be a natural participant of patients' daily life. However, robot assistance in everyday living still suffers from limited autonomy...
In mines the security of workers is the major concern thats why it is necessary to know the environmental condition inside the mine and control them. This system used to make remote controlled robot to increase the life safety of mine workers. This robot equipped with sensors, camera, wireless transmitter and receiver is used to analyze mine area. Previously sensor node is based on microcontroller...
This paper proposed an autonomous pallet handing method for industrial forklifts based on the line structured light sensor. The method mainly include two aspects. First, the design of the line structured light sensor based on embedded image processing board that contains a FPGA and a DSP. We solved the problem that Hessian matrix decomposition based light stripe center extraction cannot run in real...
This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. It is shown how this processing, in conjunction with a Dynamic Vision Sensor as its input, can be used to extrapolate information about object position. Software-wise, a system based on an array of these of RGCs has been developed in order to obtain up to two trackers. These can...
This paper presents GIMME2, an embedded stereovision system, designed to be compact, power efficient, cost effective, and high performing in the area of image processing. GIMME2 features two 10 megapixel image sensors and a Xilinx Zynq, which combines FPGA-fabric with a dual-core ARM CPU on a single chip. This enables GIMME2 to process video-rate megapixel image streams at real-time, exploiting the...
For autonomous navigation of Micro Aerial Vehicles (MAVs) in cluttered environments, it is essential to detect potential obstacles not only in the direction of flight but in their entire local environment. While there exist systems that do vision based obstacle detection, most of them are limited to a single perception direction. Extending these systems to a multi-directional sensing approach would...
We describe our design of hardware and software systems for a quadcopter robot, which we name "Phenox". Phenox is a palm-sized quadcopter robot that can fly fully autonomously without any external controller or supporting systems. In our previous studies, we proposed palm-sized and fully autonomous quadcopter robots. However, in the previous systems, almost all the capability of the CPU...
In this paper a real-time embedded 3D vision measurement system (a vision sensor) is realized, based on the line structured light, mainly for applications like large object reconstruction or robot obstacle avoidance. The system mainly contains a sensor and an image acquisition and processing board developed by our research team. An FPGA chip and a DSP chip are embedded in the card as the major calculation...
We describe an algorithm and hardware system of a 3D self-localization method for very cost effective hovering robots. The hardware system consists of very compact calculation and sensor units, instead of using a high performance calculation unit like a laptop PC. In the experiment, the comparison with the ground truth sensor is discussed and implementation of the system on a palm-sized quad-copter...
In this paper, we propose a novel inertial-assisted visual odometry system intended for low-cost micro aerial vehicles (MAVs). The system sensor assembly consists of two downward-facing cameras and an inertial measurement unit (IMU) with three-axis accelerometers/gyroscopes. Real-time implementation of the system is enabled by a low-cost embedded system via two important features: firstly, simple...
In this paper we present a complete study on the balance between high performance image processing and low power consumption without using expensive components. Our proposal consists in implementing a Discrete Time Cellular Neural Network (DT-CNN) on a low power Actel IGLOO nano Field Programmable Gate Array (FPGA). This is a definitive step further from previous work to obtain an intelligent camera...
Camera networks are an important component of modern complex systems, be it for surveillance, human/machine interaction or healthcare. Having smart cameras that can, by themselves, perform part of the data processing improves scalability both in processing and network resources. In this paper, we present the HYBRID algorithm for multiple person tracking intended for implementation on a smart camera...
This paper introduces two applications of Discrete Time Cellular Non-Linear Networks (DTCNN) in a robot guiding avoiding obstacles algorithm and prove the feasibility of both applications: a high data rate one, using a CMOS camera, and small data rate one, using ultrasonic sensors. The key value of DTCNNs is the locally connections and the parallelism in processing. These characteristics permit a...
This paper presents results from experiments on visual stereo matching for robot navigation. Visual features are stereo paired with respect to their pixel position. Stereo triangulating all paired visual features results in a set of landmarks whereof a subset are true landmarks. Constraining the horizontal disparity limits the amount of spurious matches. The stereo matching is validated by finding...
Plasma-RX is a team of robots for search and rescue mission in an urban environment. The robot configuration contains differential drive tracks with front/rear flippers and serial-link arms equipped with cameras. They contain many sensors: thermopile array, CO2 sensor, microphone, tilt sensor, digital compass and laser range finder. For low level control of robots, a processor Arm7 and a special-purpose...
In this paper we present a system for appearance-based topological mapping and localisation using vision data. The algorithms are designed for robots which are equipped with FPGA cameras. Such cameras do not provide the entire image to the robot but simple image features like colour histograms.
Stereo vision has become a very interesting sensing technology for robotic platforms. It offers various advantages, but the drawback is a very high algorithmic effort. Due to the aptitude of certain non-parametric techniques for field programmable gate array (FPGA) based stereo matching, these algorithms can be implemented in highly parallel design while offering adequate real-time behavior. To enable...
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