256 results about "Accident avoidance" patented technology

System and method for preventing vehicle accidents in which the absolute position of the vehicle is determined, e.g., using a satellite-based positioning system such as GPS, and the location of the vehicle relative to the edges of the roadway is then determined based on the absolute position of the vehicle and stored data relating to edges of roadways on which the vehicle may travel. A system or component within the vehicle is initiated, e.g., an alarm or warning system, or the operation of a system or component is affected, e.g., an automatic guidance system, if the location of the vehicle approaches close to an edge of the roadway or intersects with an edge of the roadway.

Method and system for preventing accidents between first and second vehicles includes a positioning system arranged in each vehicle for determining the absolute position thereof, a memory unit arranged in the first vehicle for storing data about travel lanes, a communication system for transmitting the position of the second vehicle to the first vehicle, a receiver system arranged in the first vehicle for receiving position information from the second vehicle, a processor coupled to the positioning system, the receiver system and the memory unit in the first vehicle for predicting a collision between the vehicles based on the position of the vehicles and travel lane data, and a reactive component arranged in the first vehicle and coupled to the processor. The reactive component is arranged to initiate an action or change its operation when a collision is predicted by the processor, e.g., sound or indicate an alarm.

In order to enhance a safety system, in particular an accident avoidance system for a means of transportation, in particular a motor vehicle, having at least one steering system and at least one brake system in such a way that an avoidance maneuver initiated by the operator of the means of transportation when approaching an obstacle is supported with respect to both the device and the method, thus preventing an accident through collision, the evaluation unit determines at least one driving variation, in particular at least one avoidance trajectory and/or at least one automatic emergency braking action from the data and information and when or after the operator of the means of transportation initiates a driving maneuver, in particular an avoidance maneuver or an emergency braking maneuver, the safety system, in particular the evaluation unit specifies, supports and/or suggests this driving maneuver in an optimized form, in particular in the form of an optimal avoidance trajectory or in the form of an automatic emergency braking.

The invention provides a bearing fault characteristic extracting method for lifting wavelet transform based on self-adaptive fitting. The bearing fault characteristic extracting method is used for diagnosing faults of a rolling bearing through a vibration acceleration signal, and comprises the following steps of: creating nine wavelets with different characteristics through calculation formulas and lifting algorithms based on data fitting; carrying out redundant lifting wavelet transform on a vibration signal by using the nine created wavelets in sequence; determining the optimum and abandoning the other eight in nine groups of decomposition results according to a normalized 1P norm value; analyzing segmented power spectrums of the initial vibration acceleration signal; selecting the optimum low-frequency approximation signal or a high-frequency detail signal for single reconstruction; subjecting the signal obtained by the single reconstruction to Hilbert demodulation; and judging running state of the rolling bearing according to frequency components in an enveloping spectrum. According to invention, early weak fault characteristic information of the rolling bearing can be extracted more effectively, and evidences are provided for state monitoring and fault diagnosis of the rolling bearing, so that accidents can be avoided as possible.

A system and method are configured to provide a cost-effective runway monitoring tool that may be used by airports to aid in accident avoidance and investigation by generating and analyzing image data corresponding to runway areas and surfaces.

The invention belongs to the field of traffic safety and intelligent traffic management control, in particular to a real-time estimating method for high-grade road traffic flow running risks. The real-time estimating method for the high-grade road traffic flow running risks considers the problem that a high-grade road short of fixed-point traffic flow collecting facility is incapable of acquiring the road traffic flow rate, occupancy and the like traffic parameters. The real-time estimating method for high-grade road traffic flow running risks includes that using traffic flow speed data acquired through different traffic information collecting technologies to build a real-time accident forecasting model, using a dynamic Bayesian network model to consider the speed state data of several time periods, building relationships between the traffic flow state and accident risks, and estimating the accident in real time so as to early warn or regulate a vehicle to avoid an accident. The real-time estimating method for the high-grade road traffic flow running risks has good forecasting precision for the high-grade road accident risks through speed data, and the real-time estimating method for the high-grade road traffic flow running risks has broad practical application value.

The invention discloses a method for issuing traffic accident avoidance information and a cloud server. The method comprises the steps that: the cloud server determines a severity level and an avoidance plan of an accident according to accident information reported by a vehicle; the length of an accident-affected road segment is determined according to an estimated processing time corresponding tothe severity level; and the cloud server sends accident avoidance information including the accident information, the avoidance plan and the estimated processing time to the vehicle in the corresponding range road segment according to the length of the accident-affected road segment. By applying the method and the cloud server, a more accurate warning of a traffic accident and more effective reminding can be provided for a driver, thus large-scale congestion, a secondary accident and the like caused by a small accident are avoided, and the traffic efficiency of an urban road is improved.

The invention belongs to the technical field of driver intention mode recognition and machine learning, and particularly relates to a driver lane changing intention recognition method based on a Gaussian mixture hidden Markov model. The lane changing driving intention recognition method based on the actual measurement data of the vehicle-mounted sensor comprises the steps that whether a driver hasa lane changing intention or not is judged by observing the action of a rearview mirror and the state of controlling a steering wheel of the driver, and meanwhile whether a lane changing requirementexists or not currently is judged by monitoring the current road condition state. According to the method, the driving intention most likely to be generated by the current driver is speculated based on the Gaussian mixture hidden Markov model, the burden of the driver can be relieved on the premise that safety is guaranteed, the comfort degree of the driver is improved, and if a dangerous situation occurs, handling can be conducted earlier to avoid accidents.

According to a method and the system for detecting a moving target object. According to the method and the system, the dynamic obstacles and the motion states of the dynamic obstacles can be accurately identified, so that accidents are avoided, and the safety is improved. The method comprises the steps of determining the optical flow information and the depth information of the image pixel pointsbased on multiple frames of images acquired at multiple acquisition moments; determining the motion information of image pixel points according to the optical flow information, the depth information and the motion information of the movable platform; and monitoring one or more moving target objects based on the motion information of the image pixel points.

The invention discloses an omnibearing running and parking assist system which is arranged on a vehicle, and comprises an image pick-up device, a display device and a controller, wherein the image pick-up device is arranged on the external top part of the vehicle, and comprises an infrared camera head at the top of the image pick-up device, a magnet chuck at the bottom of the image pick-up device, and a lifting rotary support device for connecting the infrared camera head and the magnet chuck; the display device is arranged in the vehicle, and connected with the image pick-up device; and the controller is in signal connection with the image pick-up device and the display device. The assist system disclosed by the invention has the advantages of having a great auxiliary function for vehicles when the vehicles are parked, started, crossed, and running on narrow roads and running during a peak traffic flow period. By using the assist system disclosed by the invention, the drivers can carry out 360-degree omnibearing observation on the running state of a vehicle from the upper part of the vehicle, therefore, the assist system offers a great help to the drivers, is especially suitable to be used by freshmen, and avoids the occurrence of accidents and losses.

The invention discloses a driving guidance and early warning system for preventing secondary traffic accidents and bad weather. The micro-control processor controls the wireless signal of a specific frequency to transmit to vehicles within a certain range and synchronously starts the vehicle's external voice and light warning device. Please pay attention Avoid secondary traffic accidents and avoid aggravating the consequences of accident damage; under severe weather conditions such as rain, snow, haze, sand and dust, the automatic receiving and transmitting system will receive the fixed or portable early warning information device from the road management department and the public security traffic management department. The sent road visibility information or road control information reminds the driver and passengers of the vehicle to maintain a safe distance from the vehicle, and transmits the speed and lane information of the vehicle to the subsequent vehicles in the same direction. Guide vehicles to maintain a safe distance between vehicles at a safe speed, pass in an orderly manner, and avoid accidents.

The invention discloses a collision avoidance control method of an intelligent vehicle in an emergency. The emergency collision avoidance control method of the intelligent vehicle includes the steps:respectively comparing emergency braking safe distance db, safe distance ds needed in steering collision avoidance and safe distance d1 needed in synchronous braking and steering of the intelligent vehicle with distance sf between the intelligent vehicle and a front vehicle; and according to a comparative result and vehicle running status on an adjacent lane, adopting the optimum collision avoidance mode among four modes of first level braking, emergency braking, the steering collision avoidance and braking-steering coordination collision avoidance. The emergency collision avoidance control method of the intelligent vehicle can realize that the intelligent vehicle can avoid the front vehicle or a barrier in the emergency so as to prevent an accident from occurring, and greatly improves safety of a driver and passengers.

The invention discloses a test vehicle chassis main body mechanism for an unmanned vehicle and the vehicle chassis. The chassis main body mechanism has a trapezoidal profile; the chassis main body mechanism comprises a chassis main body and a trapezoidal chassis shell covering the upper surface of the chassis main body; the chassis main body is provided with a chassis support located below the center position on the inner surface of the chassis shell; the chassis shell is provided with a center plate arranged on the chassis support; four edges of the center plate are provided with first inclined plates arranged outwardly and downwardly; and a second inclined plate is arranged between two adjacent first inclined plates. Thus, when a certain degree of collision happens to the unmanned vehicle, the unmanned vehicle can drive over through an inclined surface where the first inclined plates and the second inclined plates of the test vehicle chassis and the ground surface present a certain angle, happening of accidents can be avoided, and the test safety is improved.

A method and apparatus for guiding a vehicle to intercept a target is described. The method iteratively estimates a time-to-go until target intercept and modifies an acceleration command based upon the revised time-to-go estimate. The time-to-go estimate depends upon the position, the velocity, and the actual or real time acceleration of both the vehicle and the target. By more accurately estimating the time-to-go, the method is especially useful for applications employing a warhead designed to detonate in close proximity to the target. The method may also be used in vehicle accident avoidance and vehicle guidance applications.

The invention provides a log processing method and device. According to a tracking identifier set in a log line of the log, transaction context extraction is carried out on the log, wherein the tracking identifier is arranged in a log line through a log printing function; the log events belonging to the same calling chain of the same transaction have the same tracking identifier; furthermore, theextracted transaction contexts are sorted according to the log line acquisition time of the log lines, and the transaction contexts in the logs are determined, so that the log contexts can be rapidlyextracted, and related personnel can conveniently perform problem positioning, analysis and the like based on the log contexts; a log event identifier can be set according to a log line of the log; and the occurrence frequency of the log event identified by the same target log event in the preset time period is obtained, and the log is analyzed and detected according to the occurrence frequency, for example, log abnormal event detection and active problem discovery are carried out, and potential safety hazards are solved in time, and reasons are prevented from being found after an accident happens, and losses are reduced.

According to the invention, a method is provided for detecting objects from the vehicle environment of a vehicle, in which a plurality of signals, in particular electrical signals, suitable for signal processing, and which are generated from acoustic signals, are analysed relative to comparable features and, in the event of a potential collision of the vehicle with a detected object, a warning is emitted to the driver and/or the vehicle dynamics are actively acted upon and/or functions for reducing or avoiding a severe accident are activated. In the method according to the invention, for detecting at least one first object from the vehicle environment, acoustic signals are used from the vehicle environment, said signals impinging on the vehicle from at least one first predefined direction and comprising intrinsic noise generated by the vehicle, depending on the function, and/or external noise from the vehicle environment.

The invention relates to a circulating stereo garage, and relates to the technical field of stereo garages. The circulating stereo garage comprises a main frame, a lifting transmission device, a control system and carrying trays; the carrying trays are pairwise arranged; suspension plates are arranged on chains; the main frame is provided with wire sliding systems and tray stabilizing systems; thewire sliding systems comprise collectors and electric conducting slide rails; the tray stabilizing systems are arranged on each tray, and comprise motors, worm and gear speed reducers and dip angle detectors; and the control system communicates with lifting transmission devices and the tray stabilizing systems. The trays are always maintained horizontal during operation without shaking and swinging, and are higher in operation speed and set width; two openings can be arranged on the garage front and back to achieve more convenient and quicker vehicle parking and taking; each tray can realizeelectrification to meet the charging demands of part of new energy vehicles; and when the inclined angles of the trays exceed a set value, the condition can be timely discovered for adjustment or stopprotection, so that accidents can be effectively prevented.

The invention relates to the field of fatigue driving intelligent detection, and particularly discloses a fatigue detection system based on multi-source information fusion and an operation method of the fatigue detection system. Deep feature extraction is carried out on an electroencephalogram signal graph of each time point in a plurality of time points through a convolutional neural network; carrying out global motion associated information extraction on the vehicle motion information at each time point by using a context-based encoder model, and further carrying out processing by periodic chaotic mapping so as to improve random distribution of high-dimensional features in the signal feature map; the improved feature distribution can expand the coverage range of a feature set, enhance the diversity of feature value positions, and improve the global optimization capability. In this way, whether the driver is in fatigue driving or not can be accurately detected, and then accidents are avoided.

The invention provides a photoelectric winding, which is used for a transformer from 0.1 kilovolt to 1100 kilovolt work voltage, a reactor, a cassette mechanism and an electric generator of the inductor, and a stator, a rotor, and the like, of an electric motor. The guide line of the photoelectric winding is photo copper wire or photo aluminum wire. The photoelectric winding transmits electrical energy, and can sense or transmit correlative information such as temperature or electric current or pressure, etc. The photo copper wire or the photo aluminum wire is manufactured by extruding opticalfiber or optical fiber bundle packed in electricity conducting metallic copper or aluminum billet. The photoelectric winding can sense and transmit correlative work condition information such as temperature, electric current, pressure, and the like, when the photoelectric winding works, therefore, the photoelectric winding leads power equipment to have a self-check alarming function, provides fundamental guarantee for the good operation of equipment and accident avoidance, is intellectualized electrical power telecommunication equipment, and has epoch-making meaning.

The invention discloses a vehicle speed control method based on a cloud platform, and the method comprises the steps: acquiring first vehicle speed information of a first vehicle; acquiring second vehicle speed information of a second vehicle in a first predetermined area based on big data of the cloud platform; acquiring first path information and second path information of the first vehicle andthe second vehicle, judging whether an overlapped road section exists or not, and acquiring information of the road section; judging whether the first vehicle and the second vehicle are adjacent vehicles or not by acquiring first position information and second position information; if yes, acquiring first distance information, judging whether the first vehicle speed information and the second vehicle speed information are within a preset safety range or not, and whether the first vehicle speed and the second vehicle speed need to be adjusted or not is judged. By means of the technical scheme,the technical effects that the vehicle speed and the path of the surrounding vehicles are obtained based on big data to adjust the vehicle speed, accidents are avoided by integrating various factors,and the accident rate is reduced are achieved.