1531 results about "Speedometer" patented technology

Method for analyzing ocular and/or head orientation characteristics of a subject. A detection and quantification of the position of a driver's head and/or eye movements are made relative to the environment. Tests of the data are made, and from the data, locations of experienced areas/objects-of-subject-interest are deduced. When a driver of a vehicle is the subject, these areas/objects-of-driver-interest may be inside or outside the vehicle, and may be constituted by (1) “things” such as audio controls, speedometers and other gauges, and (2) areas or positions such as “road ahead” and lane-change clearance space in adjacent lanes. In order to “standardize” the tracking data with respect to the vehicle of interest, the quantification of the position of the driver's head is normalized to the reference-base position thereby enabling deducement of location(s) where the driver has shown an interest based on sensed information regarding either, or both of (1) driver ocular orientation or (2) driver head orientation.

The invention discloses a machine vision and inertial navigation fusion-based mobile robot motion attitude estimation method which comprises the following steps of: synchronously acquiring a mobile robot binocular camera image and triaxial inertial navigation data; distilling front/back frame image characteristics and matching estimation motion attitude; computing a pitch angle and a roll angle by inertial navigation; building a kalman filter model to estimate to fuse vision and inertial navigation attitude; adaptively adjusting a filter parameter according to estimation variance; and carrying out accumulated dead reckoning of attitude correction. According to the method, a real-time expanding kalman filter attitude estimation model is provided, the combination of inertial navigation and gravity acceleration direction is taken as supplement, three-direction attitude estimation of a visual speedometer is decoupled, and the accumulated error of the attitude estimation is corrected; and the filter parameter is adjusted by fuzzy logic according to motion state, the self-adaptive filtering estimation is realized, the influence of acceleration noise is reduced, and the positioning precision and robustness of the visual speedometer is effectively improved.

In an automobile, communications to and from the automobile are in the form of messages. Such messages are referred to as “electronic car-mail” or “C-mail” messages as each message has a destination or origination address which includes an identifier, e.g., a vehicle identification number (VIN), identifying the automobile. The messages may be delivered to the automobile from a remote server through a communications network, e.g., the Internet. One such message may contain a recall notice to the automobile. Another message may contain just-in-time map information for navigation, depending on the current location of the automobile. Yet another message may contain advertising information concerning selected entities, e.g., restaurants, gas stations, department stores, etc., also depending on the current location of the automobile. The messages transmitted from the automobile to the remote server may contain, e.g., GPS information identifying the location of the automobile, dynamic data furnished by sensors in the automobile for analysis, an odometer reading and a speedometer reading for records, etc.

The invention detects loft time and/or speed of a vehicle and/or person during activities of moving and jumping. A loft sensor detects leaving the ground and returning to the ground. A microprocessor subsystem converts the sensed information to determine a loft time. A display shows the recorded loft time to a user of the system. A speed sensor can detect speed for selective display to the user, and height may also be determined during airtime.

The invention discloses an urban environment composition method for unmanned vehicles. Under the condition of being independent of external positioning sensors such as speedometers, GPS and inertial navigators, the trajectory tracking and environment map building of an unmanned vehicle are completed by just using few particles for 3D laser-point cloud data returned by a vehicle-mounted laser radar, thereby providing basis for the autonomous running of the unmanned ground vehicle in an unknown environment; and according to the invention, an ICP algorithm is applied to adjacent two frames of data so as to obtain a coarse estimation on the real position and posture of a vehicle, and then redundance is performed near the coarse estimation based on gaussian distribution. Although the coarse estimation is not the real position and posture of the vehicle, the coarse estimation is a high-probability area of the real position and posture of the vehicle, so that an effect of relatively accurate positioning and composition is achieved by using a small amount of particles in the process of subsequent redundance, thereby avoiding the fitting of a vehicle trajectory by using a large amount of particles in a traditional method, improving the efficiency of the algorithm, and effectively restraining a phenomenon of particle degeneracy caused by bad particle estimation.

The invention discloses a mobile robot three-dimensional mapping and obstacle avoidance method based on a space bag of words model. The method comprises following steps: 1) collecting Kinect sensor data, and using a space bag of words model which fuses spatial relationships to describe scene image features 2) describing robot three-dimensional SLAM by means of the SDBoW2 model of the scene image to realize closed loop detection, three-dimensional point cloud registration, and graph structure optimization and therefore creating a global environmental three-dimensional point cloud density map; 3) the robot using the created global three-dimensional map and the Kinect sensor information to perform indoor real-time obstacle avoidance guiding. The method is aimed at low cost mobile robots without speedometers or laser distance measuring sensors; reliable real-time three-dimensional map creation and obstacle avoidance can be realized depending only on Kinect sensors; the method can be applied in long time mobile robot operation service at large area of indoor environment such as household places and office rooms, etc.

The invention discloses an omni-directional automatic forklift and a 3D stereoscopic vision navigating and positioning method. The 3D stereoscopic vision navigating and positioning method comprises the following steps: acquiring information of a 3D coordinate in the working environment of the automatic forklift; generating a 3D map; acquiring real-time images and positioning an initial position according to the 3D map; determining a target position; navigating to the target position and judging whether encountering barriers; scanning and identifying two-dimensional codes on a goods shelf; judging whether the automatic forklift is over against the goods and is aligned with the goods; enabling the automatic forklift to insert into a goods shelf tray and completing taking the goods and putting the goods. The omni-directional automatic forklift and the 3D stereoscopic vision navigating and positioning method have the benefits that the 3D map of the working environment is built by a plurality of binocular stereo cameras, the automatic forklift is capable of effectively and accurately positioning, taking the goods and putting the goods with combination of a speedometer, a laser radar and a front camera, three-freedom-degree omni-directional movement on the plane is implemented by Mecanum wheels, the automatic forklift is capable of taking the goods and putting the goods on the same goods shelf without steering, any barriers in the working environment can be effectively avoided in tine by the laser radar and an infrared sensor, and the automatic forklift can be automatically charged by communication between an upper computer and a charging box.

Methods for road safety enhancement use mobile communication device (MCD) onboard vehicle to share traveling data through inter-vehicle communication broadcasting, perform road hazard warning, enhance road navigation, and provide autonomous road assistance. The methods have a variety of vehicle status data, such as moving data, steering data, or indicator data, obtained through GPS or image capturing and recognition of instrument cluster of vehicle. The image capturing and recognition allows to get speed data from indication of speedometer, indication of left or right turn signal, steering action data corresponding to steering wheel rotation, and light-on indication of system status indicators. To facilitate that, the MCD may be placed in front of steering wheel, and, if applicable, also in coupling with movement of steering wheel. The MCD may perform relative positioning map-matching lane correlation and GPS-update-interval speed positioning to improve data quality regarding vehicle moving status.

The electronic display system displays advertisements, traffic and weather information on a display panel mounted to the license plate support of an automobile or any vehicle when the vehicle is moving beneath a predetermined threshold speed. The display can be mounted elsewhere, for example, anywhere on the rear or sides of a larger vehicle such as a van, bus or truck, where it will be readily seen. Once the vehicle exceeds the predetermined threshold speed, the display changes, showing vehicle license plate information, such as the license plate number, State of registration, etc. The electronic display system includes a programmable electronic display, driven by a display driver, and an electronic control module that allows information to be sent to and shown on the electronic display. The electronic control module is coupled to a speedometer, a tachometer, or a sensor that determines the rate at which the drive shaft rotates, which allows the control module to determine whether the threshold speed has been reached.

In a condition detection and display system (100), an omnidirectional camera (1), internal condition sensors (3), external condition sensors (4), and others detect a condition of a vehicle and surroundings around the vehicle, image data which is a detection result obtained by the aforesaid members and contains an image of the vehicle is selected from an image database (6), and the selected image data is displayed on a liquid crystal panel (7) at a position close to a display of a speedometer.

The invention discloses a transformer substation patrol robot based on multi-sensor data fusion picture composition and a method thereof. The transformer substation patrol robot comprises a robot moving platform, wherein an industrial control machine, a speedometer, a speed measuring sensor, a vision acquisition device and a laser radar are arranged on the robot moving platform; the industrial control machine is connected with a journey calculation device, the vision acquisition device and the laser radar respectively; the journey calculation device is connected with the speed measuring sensor. The transformer substation patrol robot has the beneficial effects that the vision image processing position and the laser radar synchronization positioning and map establishment are two decision positioning modes, journey calculation device track plotting is a relative positioning mode, combined action of the two absolute positioning modes in picture composition is successfully achieved, the relative positioning mode is corrected by using the absolute positioning modes, and continuous correction of the journey calculation device is realized.

The invention relates to a robot positioning method with fusion of visual features and IMU information. The invention puts forward a method of fusion of monocular vision with IMU. Visual front-end pose tracking is performed and the post of a robot is estimated by using feature points; an IMU deviation model, an absolute scale and a gravity acceleration direction are estimated by using pure visualinformation; IMU solution is performed to obtain high-precision pose information and thus an initial reference is provided to optimize the search process, and the initial reference, a state quantity and visual navigation information are used for participating in optimization; and a rear end employs a sliding-window-based tightly coupled nonlinear optimization method to realize pose and map optimization. And the computational complexity is fixed while the speedometer is calculated based on a sliding window method, so that the robustness of the algorithm is enhanced.

Speed limit indicators and methods for determining speed, the relevant speed limit, and displaying same make it easy for the driver of a vehicle to compare his current speed with the legal limit for the location in which he is traveling. This eliminates the need for the driver to take his eyes off the road to look for speed limit signs, thereby reducing the chance of an accident, and resolves any confusion that might exist as to what the current legal limit is. An audible warning of excessive speed reduces the amount of time the driver needs to spend examining the speedometer.

The invention discloses an intelligent vehicle-mounted GPS (global positioning system) navigation anti-collision warning system which consists of a GPS navigation module, a speed computation module, a central processing unit, an early warning signal module, an environment sensing module, an infrared distance measuring module, a radar speed distance module, a laser distance measuring module, an ultrasound distance measuring module, an image collecting module, an information processing module, an image processing module, a tail warning device, an audio video system, a display screen and an early warning power amplifier, wherein the speed is detected by the GPS, and the distance is detected by the distance measuring module, dangers which can cause tailgating at the front and at the back of a vehicle can be founded in time, so that a driver can be warned to travel normally and drive safely, functions of GPS navigation and audio video are realized, and no part of a vehicle control system needs to be changed.

The invention discloses a traffic congestion prediction method and system based on a traffic congestion propagation model. The method comprises: a historical track of a vehicle is obtained and a passing speed of the vehicle when passing through a first road section is calculated; according to the passing speed, a vehicle driving threshold is calculated; if an instantaneous driving speed of the current vehicle is lower than the vehicle driving threshold, traffic congestion is determined; and a road section with the monthly traffic congestion occurrence frequency larger than a predetermined frequency is determined to be a frequent traffic congestion section, a congestion sub graph is generated based on the frequent traffic congestion section, and the congestion sub graph is calibrated based on the probability of concurrence of traffic congestion of all connected sections and then a traffic congestion probability graph model is generated to predict a traffic congestion situation. Therefore, the accurate road traffic state can be extracted by using multi-source track big data, thereby completing the urban traffic congestion propagation analysis and discovering a traffic congestion source. Therefore, traffic congestion occurrence is reduced and the trip cost of the vehicle owner is saved.

The invention relates to GPS and MEMS gyroscope and speedometer combination location method and device. While the GPS signal is good, it uses the GPS location signal to locate, rectifies by the MEMS gyroscope and speedometer, synthesize the signal by Kalman filtering algorithm. While the GPS is lost, or the number of the receiving satellite is less than three, it switches to MEMS gyroscope and speedometer to locate. The combination navigation can improve GPS location precision, makes up the unable location defect caused by the GPS is covered.

The invention provides an intersection precise parking device and method used for automatic driving. The device comprises an image acquisition device, an electronic control unit, millimeter-wave radar and a speedometer. A camera is used for acquiring images of zebra crossing and a stop line in a road and traffic lights above the road. The millimeter-wave radar is used for detecting front vehicle information. The electronic control unit can detect the zebra crossing, the stop line and the traffic lights and can estimate the distance between a vehicle and the stop line according to pulse number fed back by the speedometer when the stop line enters a camera view dead zone, and the automatically driven vehicle can be precisely parked at the stop line of an intersection. When a vehicle is in front of the current vehicle, the electronic control unit can achieve precise parking according to data detected by the millimeter-wave radar, the position of the front vehicle and the states of the traffic lights. The device and method solve the problem about how to precisely park the automatically driven vehicle at the stop line at the intersection.

The invention discloses an AGV navigation method and device constructed by a laser guidance map. The method comprises the following steps that a topology map, a geometric map and a target terminal point of an AGV of a work area are obtained; positioning information, measured by a laser range finder and a speedometer, of the AGV is obtained, and the positioning information comprises position coordinate and self-positioning pose of the AGV; a global programming path is generated according to the positioning information and the topology map; and a grid map related to the position coordinate of the AGV is obtained according to the positioning information, and an instruction for indicating movement of the AGV is generated according to the global programming path. Real-time navigation of the AGV can be realized by obtaining positioning information of the AGV by the laser range finder and the speedometer, and it is not required to add other navigation guiding material or structure to the work area of the AGV.

A computer implemented method, apparatus, and computer usable program code for calibrating a speedometer of a vehicle. First information is received by the vehicle from a first radio frequency identification tag. Second information is received by the vehicle from a second radio frequency identification tag. A first measured speed of the vehicle is determined based on a reading from the speedometer and a second measured speed of the vehicle is determined using an elapsed time between when the first information was read and when the second information was read and a predetermined distance. The speedometer is calibrated based on a speed difference between the first measured speed and the second measured speed.