1979 results about "Distance threshold" patented technology

An imaging system for a vehicle includes an imaging sensor (12) and a display device (15) for displaying images representative of image data captured by the imaging sensor. The imaging sensor (12) has a rearward field of view when mounted at the vehicle. The imaging system generates a plurality of graphic overlays (130a, 130b, 130c) on the displayed images to enhance the driver's cognitive awareness of an object rearward of the vehicle. The graphic overlays comprises a plurality of graphic overlay segments. The graphic overlay segments convey three dimensional information to a person viewing the displayed images and the graphic overlays. The imaging system may adjust at least one of a color, an intensity and a rate of flashing of at least one of the plurality of graphic overlay segments in response to an object being detected rearward of the vehicle and within a distance threshold.

The invention discloses a travel track data-based stroke identification method. The stroke identification method comprises the following steps of: dividing track points through speed, and combining the track points with the speed lower than a certain speed threshold value into candidate remaining positions; and combining the candidate remaining positions by utilizing a distance threshold value and a time threshold value so as to determine a true remaining point. According to the stroke identification method, the problems of positioning drift and jitter of mobile phone positioning track data is solved, and the stroke identification precision is high; when 300 seconds is taken as the time threshold value and 1,100 meters is taken as the distance threshold value, the recall ratio is 87.66 percent, and the precision ratio is 81.56 percent; and meanwhile, GPS (Global Position System) positioning track data can be analyzed through adjusting the distance threshold value and the time threshold value.

Certain example embodiments relate to techniques for detecting anomalies in streaming data. More particularly, certain example embodiments use an approach that combines both unsupervised and supervised machine learning techniques to create a shared anomaly detection model in connection with a modified k-means clustering algorithm and advantageously also enables concept drift to be taken into account. The number of clusters k need not be known in advance, and it may vary over time. Models are continually trainable as a result of the dynamic reception of data over an unknown and potentially indefinite time period, and clusters can be built incrementally and in connection with an updatable distance threshold that indicates when a new cluster is to be created. Distance thresholds also are dynamic and adjustable over time.

The invention discloses an information processing method, a server and a logistics terminal. The processing method include: receiving an inquire request sent by the logistics terminal; determining target order information corresponding to an authentication logo and containing a delivery address which uses a current position of the logistics terminal as a center and is in a delivery distance threshold value range in at least one order which is prestored; feeding decided target order information back to the logistics terminal; and pushing on-line prompt information to corresponding order user terminals according to order user accounts in target orders after arrival notice instructions sent by the logistics terminal are received. After logistics staff arrive at a delivery plate, a plurality of order users in specific delivery areas can be informed simultaneously according to a mode that the server pushes information to order user terminals, every order user does not need to be informed to take delivery of goods by phone, and purposes of improvement of goods delivery efficiency and reduction of delivery cost are achieved.

A proximity sensor system for a vehicle includes a first remote sensor that senses objects in a rearward area relative to the vehicle. A trailer detection module determines that one of the objects is a trailer that is attached to the vehicle based on a repeating pattern of signals from the first remote sensor. A response module selectively responds to the objects other than the trailer based on the objects outside of a predetermined distance threshold. An indicator responds to response module signals.

Methods and systems are provided for generating an electronic map display. In one implementation, a method is provided for determining a route distance based on information for a route, comparing the route distance with a distance threshold, defining a search area when the route distance is less than the distance threshold, the search area including boundaries, calculating, using a processor, a points of interest (POI) density of the search area, comparing the POI density with a first density threshold and a second density threshold, adjusting the boundaries of the search area based on a result of comparing the POI density with the first density threshold and the second density threshold, identifying POIs in the adjusted search area, and providing POI information for an electronic map display, the POI information being associated with one or more POIs identified in the adjusted search area.

A method, information processing system, and wireless communication system for optimizing neighbor lists. A set of target communication sectors (240, 242) are identified within a given distance threshold from at least one of the base station (106) and a wireless device (134) currently registered with the base station (106). At least one target communication sector (240) is randomly selected from the set of communication sectors (240, 242). An identifier associated with the at least one randomly selected target communication sector (240) is inserted into a base station neighbor list (138). The base station neighbor list (138) is prioritized based on a set of call detail records associated with the at least one randomly selected target communication sector (240).

The invention is applicable to the technical field of communication, and provides a traffic safety prompting method, which comprises the steps as follows: when a mobile terminal is operated, the current position of the mobile terminal is detected, and a GPS unit is preferably started to detect the current position; a traffic dangerous area close to the current position is obtained; and if the distance between the current position of the mobile terminal and the traffic dangerous area reaches a preset distance threshold value, a traffic safety prompt is sent to a user. Accordingly, the invention further provides the mobile terminal. Therefore, the traffic safety prompting method can serve the function of traffic safety prompting during the operation of the mobile terminal, so as to ensure the user's safety.

A gesture sensing device includes one or more sensors and a processor for processing sensed voltages output from the sensors based on ambient light and/or reflected light received by the sensors. The processor determines an ambient light level and/or a distance between the target and the sensors such that, if the ambient light level exceeds an ambient light threshold and/or the distance is less than a distance threshold, the processor determines the motion of a target relative to the sensors based on the ambient light instead of the reflected light.

Systems and methods for permitting movement of an object not detected within a predetermined proximity distance threshold, the systems and methods comprising registering at least one object with a device; tracking the at least one object with the device; allowing at least one object not detected within a predetermined proximity distance threshold; and reregistering the at least one object with the device once the object has returned inside the predetermined proximity distance threshold.

An equipment fault diagnosis method successively comprises fault diagnosis training steps and fault diagnosis operation steps. The method focuses on a data form characteristic essence and combines a multi-dimensional segmentation fitting algorithm and an optimized dynamic time warping algorithm based on equipment fault data to carry out pattern expression of modeling and distance threshold extraction, and extract form characteristics from the found equipment abnormity data to carry out mode matching, so that an equipment data fault type can be identified and a reason diagnosis function is realized. In this way, the difficulties in current fault diagnosis technologies that similarity degrees among the fault data can hardly be described efficiently and accurately can be solved.

The invention belongs to the communication field and provides a method and a device for extinguishing and lighting a screen and a mobile terminal. The method includes determining whether the duration of a screen distinguishing trigger state reaches a preset time threshold value, wherein the screen distinguishing trigger state refers to that the distance value obtained by a proximity sensor in the display screen between a display screen and a barrier is smaller than a preset distance threshold value and an acceleration value obtained by a gravity sensor in the display screen satisfies a preset acceleration threshold value; and executing the screen distinguishing operation when the duration of the screen distinguishing trigger state reaches the preset time threshold value, or otherwise executing the screen lighting operation. Under the condition that the display screen of the mobile terminal is placed facing the barrier, the intelligent screen distinguishing and lighting of the mobile terminal are achieved, particularly under the condition that the display screen of the mobile terminal is placed on the barrier downwards, therefore unnecessary waste of batteries of the mobile terminal is reduced, the service life of the mobile terminal is prolonged, and user experience is improved.

A vehicle headway maintenance assist system is configured to perform a haptic notification control of an accelerator to prompt the driver to release the accelerator when the accelerator is being operated and to perform a deceleration control of the vehicle based on headway distance when the accelerator is being operated as long as the headway distance from a preceding vehicle is less than a prescribed headway distance threshold.

The invention discloses a cleaning robot and a control method thereof, and belongs to the field of robots. The control method includes: recognizing a current region during a cleaning process, using a first distance threshold to trigger the cleaning robot to enter an edge cleaning mode if the current region is a common region, and using a second distance threshold to trigger the cleaning robot to enter an obstacle-avoidance mode if the current region is a preset obstacle region, wherein the first distance threshold is less than the second distance threshold. The problem that the cleaning robot cannot be charged due to the fact that preset obstacles such as charging piles collide with the cleaning robot and shift can be solved; different distance thresholds are used to trigger the cleaning robot to enter the edge cleaning mode for different obstacles; and when the obstacles are the preset obstacles, a large distance threshold is used to trigger the cleaning robot, and then the preset obstacles will not be collided and shift.

The invention discloses a point cloud attribute encoding method, a decoding method, encoding equipment and decoding equipment. The point cloud attribute encoding method and decoding method comprise the following steps of: selecting the first K points of the current point as neighbor points according to the Morton sequence, calculating the distance between each point in the point cloud and the centroid coordinates of the neighbor points, comparing the distance with a distance threshold, and determining the attribute prediction value of the current point according to the relationship between thedistance and the distance threshold; and finally, performing attribute encoding according to the attribute prediction value or determining an attribute value of the current point according to the attribute prediction value of the current point and a point cloud attribute code stream. According to the point cloud attribute encoding method and decoding method provided by the invention, the utilization of the correlation between the geometric information and the attribute information of the point cloud can be improved, so that the encoding and decoding performance of the point cloud attribute isimproved.

A system includes an interface receiving a search and file print and a processing device. The processing device performs a method that includes: performing at least one of a first comparison of quality of the search and file prints to a quality threshold, a second comparison of a minutiae matching score for the search and file prints to a minutiae matching score threshold, and a third comparison of a ridge distance of the search and file prints to a ridge distance threshold; determining that a phase correlation between the search and file prints is to be performed based on results of the at least one of the first, second and third comparisons; aligning the search and file prints and performing the phase correlation to calculate a phase correlation score; and modifying the minutiae matching score based on the calculated phase correlation score.