Abstract: A display system includes a display device and a processing system. The display device includes at least one display region. The processing system receives motion data indicative of relative motion between the display device and images, viewed by a user, on or through the at least one display region. The processing system supplies visual cue commands that cause only a first visual cue to be generated on or adjacent to the left peripheral side and only a second visual cue to be generated on or adjacent to the right peripheral side or only the first visual cue to be generated on or adjacent to the top peripheral side and only the second visual cue to be generated on or adjacent to the bottom peripheral side, and to selectively vary either the positions of the first and second visual cues, or the positions of the first and second visual cues.

Abstract: A system determines a current state of an information handling system, and receives a sensor output signal. The system determines whether a status change of the sensor output signal relates to an expected state based on the current state and a previous state of the information handling system, and determines whether the sensor output signal is triggered by an external magnet. If the status change of the sensor output signal relates to the expected state and the sensor output signal is not triggered by the external magnet, then the system transitions the information handling system from the current state to the expected state.

Abstract: Systems and techniques for intelligent data forwarding in edge networks are described herein. A request may be received from an edge user device for a service via a first endpoint. A time value may be calculated using a timestamp of the request. Motion characteristics may be determined for the edge user device using the time value. A response to the request may be transmitted to a second endpoint based on the motion characteristics.

Abstract: A multi-sensor fusion SLAM system and a robot. The system operates on a mobile robot and comprises: a visual inertia module, a laser scanning matching module, a loop closure detection module, and a visual laser image optimization module. According to the multi-sensor fusion SLAM system and the robot, the calculation amount of laser matching constraint optimization can be reduced by using a voxel subgraph so that the pose calculation is more accurate, accumulated errors of long-time operation of the system can be corrected in time by means of sufficient fusion of modules, and the robustness of the system and the accuracy of positioning and mapping are integrally improved.

Abstract: A system includes a plurality of wireless transmitters and a processor configured to: receive, from a mobile device, signal strengths of signals from the wireless transmitters as detected by the mobile device. The processor is also configured to determine a location of the mobile device in a vehicle, based on a distance from the mobile device to each of the wireless transmitters, as indicated by the received signal strengths and store the location of the mobile device as an occupant location.

Abstract: A method includes transmitting a first electromagnetic signal from a first node to a second node and receiving a second electromagnetic signal from the second node at the first node. The method also includes repeating the transmission of the first electromagnetic signal and the reception of the second electromagnetic signal multiple times. The method further includes identifying, based on the repeated transmissions and receptions, a time-of-flight associated with a travel time for one of the electromagnetic signals to travel between the first and second nodes. The time-of-flight is indicative of a distance between the nodes.

Abstract: The application is directed to an electronic that includes multiple motion sensors, such as passive infrared sensors, that the electronic device uses to detect characteristics of objects. For instance, the motion sensors may be substantially vertically aligned and/or substantially horizontally aligned with one another, where each motion sensor is positioned at a respective angle with respect to a ground plane. When the motion sensors detect an object, the electronic device can then determine a direction at which the object is moving and/or a speed at which the object is moving. In some instances, the direction may include towards the electronic device or away from the electronic device. Additionally, based on the characteristics of the object, the electronic device may perform an action, such as generating image data using a camera and/or sending a user alert.

Abstract: A method for monitoring and sustaining vitality of a target system (TS) dynamically by providing an object oriented information system (OOIS) for TS, receiving and monitoring information of surrounding environment of TS and information within TS by sensory units; creating received and monitored information wave packets (RMIWP); transform RMIWP into one or more processed information wave packets (PIWP) by translating frequencies of RMIWP into a common frequency; storing PIWP in ordered time sequence, space and logical classifications; recognizing strategic events (SE) based on stored PIWP, refining details of SE, recognizing a criteria for maximum vitality of TS, recognizing future plans (FP) based on SE and evaluating vitality of OOIS and recognizing a FP with maximum vitality, converting FP into steps in time and space for a motor unit for moving TS, monitoring movement of TS, comparing outcome with the criteria, and dynamically selecting a FP with maximum vitality.

Abstract: A system and a method for providing visual assistance to an individual suffering from motion sickness. The system includes: a sensor configured to measure movement data of a vehicle in real time; an artificial horizon device designed to generate an image of an artificial horizon in real time on the basis of the movement data of the vehicle; and a wearable augmented reality device designed to display the image of the artificial horizon in real time to an individual who is wearing the wearable device and is a passenger in the vehicle.

Abstract: The panoramic surround view system in the vehicle can control the projection device of the vehicle to project the preset pattern on the ground around the vehicle, acquire the plurality of target photographs including the preset pattern, and generate the target calibrating data of the surround view cameras according to the plurality of target photographs, so that the surround view cameras of the panoramic surround view system can be calibrated by using the target calibrating data to obtain the panoramic surround view image. Therefore, when the user needs to re-calibrate the calibrating data of the image splicing of the panoramic surround view system of the vehicle, the calibrating process can be completed by only by using the projection device of the vehicle, without using a special calibrating site and equipment, thus simplifying the calibrating operation steps and saving time.

Abstract: Thematic map preparation method and apparatus, a storage medium and an electronic device are provided. The method includes: preparing a map style master based on an aimed application field; generating metadata information corresponding to the map style master, wherein the metadata information includes a mapping relationship between each of the geographical units in the map style master and the initial color identification corresponding thereto, and the metadata information further includes location information about the legend in the map style master; processing original input data, and acquiring an attribute color identification of each geographical unit in the original input data; and replacing the initial color identification corresponding to each of the geographical units in the map style master with the attribute color identification, and updating the legend, so as to obtain a thematic map of the original input data when aimed at the application field.

Abstract: An embodiment vehicle includes a multi-camera including a first, second, and third cameras and a controller configured to receive a first image captured by the first camera in a first direction, a second image captured by the second camera in a second direction perpendicular to the first direction, and a third image captured by the third camera in a third direction perpendicular to the first and second directions, to detect calibration markers from each of the first, second, and third images, to calibrate a first movement value in an optical axis direction of each of the first, second, and third cameras, to calibrate a second movement value in the second direction of the first camera, to calibrate a third movement value in the third direction of the first camera, and to calibrate a capture area of the first camera.

Abstract: A system and a method to create clusters in an area are disclosed. Initially, a set of location data points associated with a plurality of user devices in an area and a defined block area are received. Further, a rectangular boundary is created by connecting a first reference point, a second reference point, a third reference point, and a fourth reference point identified based on a latitude and a longitude of each user device. Furthermore, a set of blocks are created by dividing the rectangular boundary based on the defined block area. The set of blocks are sorted based on a number of location data points present in each block. Subsequently, the set of blocks are reconfigured by determining a centroid of a plurality of location data points present in each block. Finally, a plurality of clusters is created in the area upon marking the reconfigured set of blocks.

Abstract: Aspects presented herein may improve the performance of positioning devices by enabling the positioning devices to utilize transformed map data with limited third party knowledge of the transformation. Aspects presented herein may enable a positioning device to make the map data from another coordinate system usable for positioning algorithms without knowledge of the transformation. In one aspect, a UE transmits a request for map data based on a first set of coordinates in a first coordinate system. The UE receives the map data based on a second set of coordinates in a second coordinate system, where the first set of coordinates in the first coordinate system is distinct from the second set of coordinates in the second coordinate system. The UE calculates a set of relative distances between the second set of coordinates and one or more objects corresponding to the map data.

Abstract: A method for generating a scanning path of a machining feature surface of an aircraft panel, including: acquiring a main direction and a triangular mesh model of the aircraft panel; dividing the triangular mesh model into multiple regions; recognizing the machining feature surface according to the main direction; projecting the machining feature surface to a 2D coordinate system thereof; extracting a 2D scanning path for the machining feature surface; and mapping the 2D scanning path to a 3D space to generate a 3D scanning path.

Abstract: A method for verifying an alignment of one or more devices of a vehicle in a manufacturing environment includes selecting an alignment verification routine to be performed by an autonomous alignment verification mobile robot (AAVMR) and autonomously positioning the AAVMR based on a position of the vehicle and one or more displacements associated with the alignment verification routine. The method includes performing, using the AAVMR, the alignment verification routine to generate one or more alignment characteristics associated with the one or more devices and broadcasting a notification based on the one or more alignment characteristics.

Abstract: A method of providing exercise therapy using an artificial intelligence motion analysis model comprises: receiving, from a doctor terminal, prescription information related to exercise for a patient; allocating, to an account of the patient, based on the prescription information, an exercise plan including at least one prescribed exercise; receiving, from a patient terminal, an exercise image in which an exercise according to the prescribed exercise is photographed; extracting, from the exercise image including a subject of the patient, a keypoint corresponding to each of a plurality of preset joint points, using an artificial intelligence posture estimation model trained based on a training data set; and analyzing, using an artificial intelligence motion analysis model, a relative positional relationship between the keypoints, and analyzing, based on the analysis of the positional relationship, an exercise motion of the patient for the prescribed exercise.

Abstract: A position detection device includes a magnetic scale and a magnetic sensor. The magnetic scale includes a plurality of magnets arranged along a first reference direction. The magnetic sensor includes a plurality of detectors that detect a composite magnetic field. The plurality of detectors are each arranged to satisfy AG=N(M?W)/(n?1), where n is the number of magnets of the magnetic scale, M is a distance from a first end to a second end, W is the width of each of the plurality of magnets and is greater than 0 and less than or equal to M/n, AG is a gap between each of the plurality of magnets and each of the plurality of detectors in a second reference direction, and N is a number greater than or equal to 0.4 and less than or equal to 2.

Abstract: Real time location systems are provided including one or more ultra-wideband (UWB) sensors positioned in an environment; one or more image capture sensors positioned in the environment; and at least one UWB tag associated with an object in the environment to provide a tagged item in the environment. The one or more UWB sensors and the one or more image capture sensors are integrated into at least one location device. The at one location device includes a UWB location device, a combination UWB/camera location device and/or a camera location device. A location of the tagged item is tracked using the at least one location device. and wherein a location of the tagged item is tracked using the at least one location device.

Abstract: A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

Abstract: Systems and methods for calibrating sensors of a robot are disclosed. In one exemplary implementation, an environment comprising a plurality of sensor targets and a fixed position for a robot allows for faster, more accurate calibration of a robot's sensors.

Abstract: A system for predicting energy consumption by a vehicle during a trip has a controller adapted to receive a route plan for the trip. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The system has a plurality of machine learning modules, including a behavior predictor, a driving consumption predictor and an auxiliary consumption predictor. The controller is adapted to predict a total energy consumed by the vehicle during the trip by executing the plurality of machine learning modules. The driving consumption predictor is adapted to predict a primary energy consumed for propelling the vehicle based in part on the route plan. The auxiliary consumption predictor is adapted to predict a secondary energy consumed by the vehicle for non-propulsion purposes. The behavior predictor is adapted to predict an average vehicle speed based at least partially on traffic conditions.

Abstract: A method includes wirelessly transferring power through a main coil of a wireless power transfer system, wherein the main coil is connected in series with a main resonant capacitor, and the main coil and the main resonant capacitor form a main resonant tank having a first resonant frequency, applying an excitation including a voltage step to an auxiliary resonant tank comprising an auxiliary coil and an auxiliary resonant capacitor, wherein the auxiliary resonant tank has a second resonant frequency different from the first resonant frequency, calculating a quality factor of the wireless power transfer system based on a plurality of parameters derived from a damped sinusoidal waveform obtained from the auxiliary resonant tank, and determining whether a foreign object is magnetically coupled to the wireless power transfer system based on the quality factor.

Abstract: A scale and pose estimation method for a camera system is disclosed. Camera data for a scene acquired by the camera system is received. A scale prior parameter characterizing scale of the camera system is received. A cost of a cost function is calculated for a similarity transformation. The cost of the cost function is influenced at least by the scale prior parameter. Based at least on the cost function being less than a threshold cost, an estimated scale and pose of the camera system is output based on the similarity transformation.

Abstract: System for determining relative positions and/or relative motions between objects (103, 602, 604). Disclosed systems include a target tracking device (110, 620, 622) on a first object (602) and an optical target on a second object (604). The target tracking device comprises a camera to take images of the optical targets which is configured to track the optical target. The system comprises an onshore crane (601), a ship system (700), an aviation system (800) or an offshore crane (100). A controller (115, 615, 715, 815) controls the crane, a ship (701) or a helicopter (801) using the data from the tracking device.

Abstract: Disclosed is a computer-implemented method for determining a target position of an X-ray device which encompasses acquiring image data describing an anatomical structure of a patient, for example, by means of a 3D scan, and registering the image data relative to a coordinate system of the patient, for example by means of a navigation system (embodied by registered image data). Furthermore, a trajectory of an implant positioned within the anatomical structure relative to the patient coordinate system is acquired (embodied by trajectory data). A target position of an X-ray device for acquiring an X-ray image of at least part of the implant is determined based on the registered image and the acquired trajectory of the implant (embodied by X-ray device position data).

Abstract: A processing device of a displacement detection device includes an AD conversion device, a switching circuit, and an arithmetic processing unit. The AD conversion device has first and second AD conversion units. The switching circuit periodically switches between a first connection mode in which a first differential signal is AD-converted by the first AD conversion unit and a second differential signal is AD-converted by the second AD conversion unit, and a second connection mode in which the first differential signal is AD-converted by the second AD conversion unit and the second differential signal is AD-converted by the first AD conversion unit. The arithmetic processing unit outputs displacement information of a scale based on an addition average value of the first differential signals output from the first and second AD conversion units and an addition average value of the second differential signals output from the first and second AD conversion units.

Abstract: A light detection and ranging (LIDAR) system is provided that includes an optical source to generate and transmit an optical beam, an optical fiber to guide the optical beam to a fiber tip from which the optical beam is emitted, and a first scanning mirror rotatable along at least one axis to steer the optical beam to scan a scene, and collect light incident upon objects in the scene. The system further includes a first lens, disposed between the optical fiber and the first scanning mirror, to focus the optical beam emitted from the optical fiber to converge at a location near a center of rotation of the first scanning mirror, the first scanning mirror to reflect the optical beam towards an optic, the optic, disposed between the first scanning mirror and the scene, to collimate or focus the optical beam reflected from the first scanning mirror, and a signal processor to determine a range of one or more of the objects from a return signal reflected from the one or more of the objects.

Abstract: An electronic device is provided, including first and second bodies, a processing module, a touch display panel, and at least one sensing unit. The second body is rotatably connected to the first body. The processing module is disposed in the first body or the second body. The touch display panel is disposed on the second body, is coupled to the processing module, and has a main display part, and first and second display parts. The sensing unit is disposed in the first body or the second body and coupled to the processing module. When the sensing unit detects the first and second bodies are folded relative to each other, the processing module is switched to a second mode, wherein in the second mode, the main display part is activated, the first display part and the second display part are adapted to operate synchronously or operate individually.

Abstract: Various embodiments of the present technology may provide methods and systems for position stabilization. The methods and systems for position stabilization may be integrated within an electronic device. An exemplary system may include a driver circuit responsive to a gyro sensor and a feedback signal from an actuator. The driver circuit may be configured to calibrate a gain applied to a drive signal based on the posture of the electronic device.

Abstract: An apparatus for providing a user-customisable machine learning model, MLM, the apparatus including: (i) one or more processing units configured to: receive measurements from one or more sensors that monitor one or more aspects of a user, an object, or an environment of the user; (ii) receive, via a user interface, one or more user-defined labels for one or more parts of the received measurements; (iii) form a training measurement set from the one or more parts and the one or more user-defined labels; and (iv) train an MLM with the training measurement set to generate a trained MLM, wherein the trained MLM is such that the trained MLM is able to determine one or more user-defined labels for further measurements received from the one or more sensors.

Abstract: A detection method of a pen signal that is an alternating current signal sent from a pen according to the present disclosure includes setting a first detection period and a second detection period that is the period after the first detection period ends based on a generation cycle of noise, transmitting to the pen an uplink signal requesting transmission of the pen signal in synchronization with the first detection period and transmission of the pen signal, whose phase is inverted with respect to the pen signal transmitted in synchronization with the first detection period, in synchronization with the second detection period, and acquiring the pen signal based on a first received signal received from the pen in the first detection period and a second received signal received from the pen in the second detection period.

Abstract: A method for estimating a steering wheel torque for a mechanical feedback at a steering wheel of a steering system of a motor vehicle is disclosed, comprising: receiving and/or detecting at least one current measurement value of at least one state variable of the motor vehicle by suitable input means; estimating the current steering wheel torque by means of a controller; outputting the estimated steering wheel torque as a steering wheel torque signal, wherein the estimation is carried out by means of a parameterizable steering model, wherein current measurement values of at least a subset of the at least one state variable are fed as input data to the parameterizable steering model for this purpose, and wherein nonlinearities of the steering system are estimated based on the current measurement values of at least the subset of the at least one state variable using a method of artificial intelligence.

Abstract: Systems and methods for improving power usage of a wireless device are disclosed. The wireless device includes a memory; and at least one processor communicatively coupled to the memory, the at least one processor configured to: determine a change in ambient light received by the wireless device; determine a position of the wireless device; activate a low power image sensor based on at least one of the change in the ambient light or the position of the wireless device; detect a face using the low power image sensor; and turn on a display of the wireless device based on a user face being the face detected.

Abstract: Embodiments of the present disclosure are directed to various systems, methods and apparatuses of a motion sensing stack, comprising a plurality of magnetometers. Preferably at least four magnetometers are included and at least one magnetometer is out of the plane of at least three other magnetometers. Preferably, the stack includes an 18D IMU (inertial measurement unit). Preferably, the 18D IMU features a 3D accelerometer, a 3D gyroscope and at least four 3D magnetometers. Alternatively, optionally a 9D IMU is provided, comprising a 3D accelerometer, a 3D gyroscope and one 3D magnetometer. The IMU may optionally be MEMS (microelectromechanical system) based.

Abstract: Aspects and embodiments of the present invention generally include a device for patient self-administration of a prescribed medication. The device makes available for administration the precise quantity of medication constituting a dose at times designated by a health care provider (HCP). Preferably, the device also detects and transmits information to a remote management system accessible to the HCP, including detected attempts to tamper with the device. Advantageously, HCPs may render oversight and control over the device and its use to mitigate risks associated with patients self-administering medication without in-person supervision. This control may include establishing prerequisites the patient must meet prior to a dose being made available, or remote deactivation of the device. This oversight by the HCP may include patient-specific and aggregate data analysis for optimization of treatment or evaluation of the safety and efficacy of a treatment.

Abstract: The present invention discloses an item-customer matching method and device based on vision and gravity sensing, and belongs to the technical field of computer. The method comprises acquiring the identity information of a customer and tracking the customer in real time in the shopping place, wherein shelves for carrying items are arranged; acquiring the shelf position of the shelf where the loading weight changes; identifying the items that cause changes in the loading weight of the shelf to obtain the item identification result; determining the identity information of the purchaser according to the shelf position, the hand position of the customer, and the action behavior of the customer, wherein the purchaser is a customer matching the item identification result. The device includes a customer tracking module, a shelf position acquiring module, an item identification result acquiring module, and a matching module.

Abstract: A method for kinematic state estimation of a user equipment connected to a wireless communication network includes obtaining range rate measurement data defining a change rate of a distance between the user equipment and a range rate measuring position and obtaining range measurement data defining a distance between the user equipment and a range measuring position. A kinematic state estimation of the user equipment is performed based on at least the range rate measurement data and the range measurement data. The kinematic state estimation includes interacting-multiple-model filtering using three interacting models. The interacting-multiple-model filtering includes a three-dimensional constant velocity movement Wiener process, a three-dimensional constant acceleration movement Wiener process, and a three-dimensional constant position Wiener process.

Abstract: To track certain difficult facial features during speech such as the corners of the mouth and the teeth, a camera sensor system generates RGB/IR images and the system also uses light intensity change signals from an event driven sensor (EDS), as well as voice analysis. In this way, the camera sensor system enables improved performance tracking (equivalent to using very high-speed camera) at lower bandwidth and power consumption.

Abstract: In an embodiment, a method for commissioning a sensor via a communication unit includes scanning, by the communication unit, a sensor-identifying feature of the sensor to provide sensor-identifying data and sending, by the communication unit to a system controller, the sensor-identifying data. The method further includes receiving, by the communication unit from the system controller, one or more contextual prompts regarding a sensed object to which the sensor is operatively connected and, in response to the contextual prompts, sending, by the communication unit to the system controller, sensed object context information. Thereafter, the method further comprises receiving, by the communication unit from the system controller, confirmation of commissioning of the sensor. A corresponding method in the system controller, as well as corresponding apparatus, are also described.

Abstract: The disclosure provides a wafer searching method and device. The method includes: obtaining a target wafer and a reference wafer; determining a first specific area in the target wafer, and obtaining a first significant distribution feature of the first specific area; determining a second specific area in the reference wafer, and obtaining a second significant distribution feature of the second specific area; in response to determining that the first significant distribution feature corresponds to the second significant distribution feature, estimating a fail pattern similarity between the first specific area and the second specific area; in response to determining that the fail pattern similarity is greater than a threshold, providing the reference wafer as a search result corresponding to the target wafer.

Abstract: A system determining a spin axis of a ball includes a radar transmitting a signal into a target area. The radar includes a minimum of three receivers arranged so that two pairs of receivers are not co-linear. The system also includes a Processing Unit (“PU”) receiving data from the radar and determining a radar range of frequencies received at a point in time corresponding to differing velocities relative to the radar of different portions of the ball as the ball is spinning. PU divides the radar frequency range into a plurality of frequency components and calculating, for each of the frequency components, an angular position associated therewith. PU identifies as a projection of the spin axis in a plane perpendicular to a line of sight from the radar to the ball, a line perpendicular to a line represented by the determined angular positions.

Abstract: A control method of a robot according to an aspect of the present disclosure includes receiving from an external computer information that instructs the robot to encourage a user to exercise; sensing a user's current position; moving the robot into a predetermined area that includes the user's current position; causing the robot to perform a gesture to encourage the user to exercise; monitoring behavior of the user; and performing driving of the robot along with exercise of the user, based on a result of the monitoring.

Abstract: A point cloud data acquiring system (1) is a system which acquires, as moving, point cloud data which serves as base data for a three-dimensional map representing a traveling environment of a vehicle includes range finding part (31) which acquires point cloud data representing azimuths and distances to planimetric features configuring the traveling environment, marker detecting part (2) which detects marker (10) laid in or on a traveling road of the vehicle, and a data recording part which records point cloud data acquired by range finding part (31) as linking thereto marker reference information including positional information with reference to any marker (10).

Abstract: A deviation detection method includes obtaining first and second images of first and second electrode sheets, respectively, of an electrode assembly during winding using first and second cameras. The method further includes determining whether the first and/or second camera is deviated according to a distance from a reference point in the first and/or second image to a specific position, which is a position of a same object appearing in the first image and the second image. The method also includes determining whether the electrode assembly is deviated according to a vertical distance from the reference point in the first image to a boundary of the first electrode sheet and a vertical distance from the reference point in the second image to a boundary of the second electrode sheet if the first camera and the second camera are not deviated.

Abstract: Embodiments of this application disclose a configuration method that may be applied to a software-defined wide area network (SD-WAN). The method includes: receiving a correspondence between a device identifier of a first device and a first location; sending, to the first device, a verification request related to verifying whether the first device is located at the first location; receiving a verification response to the verification request; and determining, based on the verification response, whether to send configuration information corresponding to the first location to the first device. The methods in the embodiments of this application may be implemented by a software-defined network (SDN) controller.

Abstract: A system and a method for detecting a moving target based on multi-frame point clouds. The system comprises a voxel feature extraction module; a transformer module used for matching and fusing the feature tensor sequence, fusing a first feature tensor with a second feature tensor, fusing the fused result with a third feature tensor, fusing the fused result with a fourth feature tensor, and repeating the fusing steps with a next feature tensor to obtain a final fused feature tensor; and an identification module used for extracting features from the final fused feature tensor and outputting detection information of a target. The method comprises the following steps: S1, constructing each system module; S2, training the model by the data in a training set; S3, predicting by the trained model.

Abstract: Techniques described herein include receiving selection of information identifying one or more members for participating in a fitness session, a start time for the fitness session, and a duration of the fitness session. The techniques also includes receiving individual fitness metrics for the one or more members associated with the fitness session, the individual fitness metrics collected during a period of time corresponding to the start time and the duration of the fitness session. The techniques also includes presenting aggregate fitness data for the fitness session corresponding to the received individual fitness metrics for the one or more members associated with the fitness session during the period of time, and presenting at least a subset of the received individual fitness metrics for the one or more members associated with the fitness session during the period of time.

Abstract: Spatial data may be divided along an axis of the second dimension into a first data segment and a second data segment, such that the first data segment is limited to data points of the spatial data with second dimension coordinates within a first range and the second data segment is limited to data points of the spatial data with second dimension coordinates within a second range. A first processing element may execute an object detection process on the first data segment to generate a first list of objects within the first data segment. A second processing element may execute the object detection process on the second data segment to generate a second list of objects within the second data segment. A first set of objects detected in the first data segment may be combined with a second set of objects detected in the second data segment.

Abstract: In one embodiment, a method includes, receiving a first set of positional parameters for movement of a vehicle through an environment captured by a first sensor associated with the vehicle. The method includes receiving a second set of positional parameters for movement of the vehicle through the environment captured by a second sensor associated with the vehicle. The method includes calculating an angular offset between the first set of positional parameters and the second set of positional parameters based on comparing the first set of positional parameters to the second set of positional parameters. The method includes determining a calibration factor based on the calculated angular offset. The method includes calibrating at least one of the first sensor or the second sensor by using the calibration factor.