56 results about "Perceptual system" patented technology

A car networking perceptual system based on OFDM and radar-communication integration comprises a data fusion unit, a driving-information obtaining unit, an echo signal extraction unit, a signal modulation unit, a signal demodulation unit, and a wireless transceiving unit, which are connected with each other. A construction method of the car networking perceptual system based on OFDM and radar-communication integration comprises thirteen steps. By using OFDM to finish the modulation and transmission sharing of self driving information in the invention, on one hand, the car networking perceptual system could demodulate the travelling speed, working condition and movement characteristic data of other vehicles in a cooperative communication mode, on the other hand, a non-cooperative radar detection mode could be used to measure the relative position and motion information between the car and other vehicles around the car so as to provide peripheral target movement conditions for a driver or an automatic drive system in real time to help the driver or the automatic drive system to adopt necessary reasonable measures, thereby improving traffic safety.

A method and system for matching digital information flow to the human perception system. In various embodiments, multi-monitor (multimon) support is leveraged to take advantage of multiple windowing and window positioning to separate elements of different tasks into information planes (which are based on a concept of “triage and focus”). Triage watches the flow of incoming information and determines the nature of the information. Based on the nature of the information and principles of human perception, Focus (or defocus) displays the information where the information is best viewed.

The invention discloses an efficient reconstruction method in a compression perceptual system, relates to a data processing method which is used for solving the problem that the precision and the speed cannot be improved simultaneously in the existing reconstruction method and comprises the following steps: firstly arranging a measurement value Y0 into a form for easily realizing a reconstruction algorithm, if one-dimensional reconstruction is required, ensuring that the measurement value is not arranged, and if two-dimensional reconstruction is required, vectorizing the measurement value to obtain Y; then enabling the k to be equal to 1, uk to be equal to 0 and vk to be equal to 0, thus obtaining expressions as shown in the specification; performing non-contribution iteration in an iterative step to compute the times s of the non-contribution iteration; if the change times s of the vk just enable the uk+1 to change, containing the following iterative formulas as shown in the specification in the iterative steps to judge an expression as shown in the specification, then judging whether the judgment is met so as to determine whether to converge the iteration, iterating until the iteration is converged; and finally, if an one-dimensional signal is required to reconstruct, directly using signal sparseness to represent a reconstruction original signal, and if a two-dimensional signal is required to reconstruct, inversely vectorizing a sparseness coefficient u, and using the sparseness of the image to represent the reconstruction original image. The efficient reconstruction method can be applied to the reconstruction of the one-dimensional or two-dimensional signal in the compression perceptual system.

The invention provides an autonomous robot and a control method, device and system thereof and a computer readable medium. The autonomous robot comprises a perceptual system and a control system. Thecontrol system is configured to dynamically adjust the behavior safety threshold of the autonomous robot based on the motion state of the autonomous robot for controlling the motion behavior of the autonomous robot based on the perceptual data of the perceptual system and the dynamically adjusted behavior safety threshold. According to the autonomous robot and the control method, device and systemthereof and the computer readable medium, the behavior safety threshold of the autonomous robot is dynamically adjusted based on the motion state of the autonomous robot so as to ensure correct control of the behavior of the autonomous robot in various application scenes, improve the reliability of the autonomous robot and then enhance the user experience.

The disclosure provides a real-time traffic situation awareness system. In one embodiment, the real-time traffic situation awareness system receives driving data from a car, wherein the driving data comprises an image, GPS data, and gyroscope sensor data. The real-time traffic situation awareness system comprises an image processing unit, a feature extraction unit, a feature matrix database, a data grouping unit, and a situation awareness unit. The image processing unit processes the image to generate a processed image. The feature extraction unit generates a data point according to the processed image, the GPS data, and the gyroscope sensor data. The data grouping unit searches the feature matrix database for a plurality of feature groups of an optimal feature matrix corresponding to a geographic area according to the GPS data of the data point. The situation awareness unit analyzes the feature groups to generate traffic information.

A method for establishing a relationship between a physical structure of reflectance spectra as defined in a Euclidean color space and a perceptual space of color appearance defined in terms of human perception of colors is performed by obtaining a cube root spectrum of the physical reflectance spectrum in a selected spectral range, reconstructing the cube root of the physical reflectance spectrum by a weighted linear combination of three basis functions, the weights of the linear combination of the basis functions constituting the coordinates in a three-dimensional Euclidean color space with respect to which similarities and differences among reflectance spectra in metric terms and a color characterized in a perceptual space of color appearance can be analyzed, and making an analytic comparison between a physical system in the three-dimensional Euclidean color space and the perceptual system by means of a linear transformation therebetween.

The present invention leverages analysis methods, such as expected value of information techniques, rate-based techniques, and random selection technique, to provide a fusion of low-level streams of input data (e.g., raw data) from multiple sources to facilitate in inferring human-centric notions of context while reducing computational resource burdens. In one instance of the present invention, the method utilizes real-time computations of expected value of information in a greedy, one-step look ahead approach to compute a next best set of observations to make at each step, producing “EVI based-perception.” By utilizing dynamically determined input data, the present invention provides utility-directed information gathering to enable a significant reduction in system resources. Thus, of the possible input combinations, the EVI-based system can automatically determine which sources are required for real-time computation relating to a particular context.

A method and system for matching digital information flow to the human perception system. In various embodiments, multi-monitor (multimon) support is leveraged to take advantage of multiple windowing and window positioning to separate elements of different tasks into information planes (which are based on a concept of “triage and focus”). Triage watches the flow of incoming information and determines the nature of the information. Based on the nature of the information and principles of human perception, Focus (or defocus) displays the information where the information is best viewed.