1604 results about "Car driving" patented technology

Rideshare cars operate within a network and each includes a car-camera device which allows each car driver to communicate with each other. The car-camera device uses object and facial recognition software to locate objects, people, sounds, QR codes and gestures, inside and outside the car and responds accordingly, providing a corrective action. The car-camera devices perform functions to ensure that both riders and drivers of rideshare services and drivers of car-share services are safe and can communicate with each other, before, during, and after a ride or drive.

The embodiment of the invention discloses an automobile driving behavior reminding method and system. The method comprises the steps of obtaining running state data and driving behavior data recorded in an automobile data storage device, judging whether an automobile is in an abnormal driving state or not according to the running state data and the driving behavior data, generating a user driving reminding message and sending the user driving reminding message to the automobile data storage device if yes, and giving out a reminding message through the automobile data storage device based on the user driving reminding message. According to the automobile driving behavior reminding method and system disclosed by the embodiment of the invention, the running state of the automobile can be judged out in real time on the basis of the running state data of the automobile and the driving behavior, a driver is reminded of the various abnormal driving behaviors in the running process of the automobile, and the driver is helped to keep a good driving habit; and besides, the driver is reminded of emergency circumstances and forward accidents possibly occurring in the running process of the automobile, and the driving safety of the driver is improved.

The invention discloses a driving task deciding system for a driverless car. The system comprises an environment sensing module, a macro-planning and navigating module, a driving task deciding moduleand a driving task executing and obstacle avoiding module, wherein the environment sensing module is used for detecting ambient environment of the car; the macro-planning and navigating module is usedfor planning a route according to an input driving task, generating a passable macro-route from starting point to destination, determining actions needed to be taken by the car to follow the macro-route according to the current position of the car and outputting navigation information; the driving task deciding module is used for deciding driving tasks to be executed by the car according to the current driving task of the car, driving environment and the navigation information of the car; the driving task executing and obstacle avoiding module is used for executing the optimal driving task according to the motion state of the car. The driving task deciding system has the advantages that defects in the prior art can be overcome, safe and efficient driving of the car on a road can be guaranteed, corresponding driving tasks are completed, and the car can abide by traffic laws and regulations actively.

The invention discloses a driving behavior analyzing and reminding method and system. A data collecting module sends collected driving data to a data processing module, the data processing module preprocesses and sends the data to a wireless communication module, the wireless communication module performs transmission through a transmission module, the data are sent to a remote server through the transmission module, the data are received through a data receiving module, the received data are analyzed and fall into a database, a data analysis module analyzes the uploaded data in real time or analyzes the record of the database to generate a user driving prompt, a monitoring feedback module monitors the analysis result of the automobile data in real time, and when a vehicle-mounted terminal receives the early warning result through the transmission module, an early warning and reminding module can send the prompt to a user. The driving behavior of a driver is recognized and preestimated by analyzing internal automobile body data and external road condition data in the automobile driving process, the bad driving behavior of the driver can be assessed more comprehensively and accurately, and the driver is reminded in time.

The invention relates to a travelling risk field-based automobile driving safety assistance method which comprises the steps of (1) establishing a travelling risk field unified model according to the combined action of all factors of people, automobiles and roads in the ambient environment for the travelling risk; (2) establishing a self automobile travelling risk field model by building a mathematical model of the kinetic energy field, the potential energy field and the behavior field of objects in the ambient environment, and calculating the total field intensity of the travelling risk field of a self automobile; (3) calculating the acting force applied to the self automobile in the travelling risk field based on the total field intensity of the travelling risk field; (4) calculating the travelling risk factor of the self automobile according to the acting force applied to the self automobile in the travelling risk field, and carrying out safety assistance in the travelling process based on the risk factor. The method is suitable for decision of driving safety assistance in the complex environment and the route planning of an intelligent vehicle.

A T-BOX information security detection and protection method based on vehicle anomaly data monitoring comprises: classifying and summarizing vehicle faults, providing a universal vehicle fault tree model, collecting and comparing vehicle real-time data through T-BOX, monitoring vehicle anomaly data in real time, transmitting to a telematics service platform (TSP) constantly, determining change trends of operation parameters and states of each vehicle part and system through data fusion and through big data analysis based on vehicle driving historical information collected by a cloud terminal and vehicle main parts related information restored by a main engine plant, comparing vehicle real-time information transmitted by T-BOX, judging whether a vehicle has anomaly data or not at present, and determining whether the vehicle is under information security attack or not based on the established vehicle fault tree model; finally, notifications or warnings on fault problems due to vehicle functional security need to be made for users and vehicles by the TSP.

The invention discloses an automobile driver emotion monitoring and automobile control system, and solves the technical problems that in the prior art, the monitoring method for driver's adverse emotion is single, and no emotion regulating measure and no corresponding automobile safety control measure are provided. The automobile driver emotion monitoring and automobile control system provided by the invention can control the automobile and regulate driver's emotion promptly when the driver's emotion is detected to be in an adverse state, and comprises a camera shooting device, an emotion monitoring and processing unit and a sounding unit, wherein the output end of the camera shooting device is connected with the emotion monitoring and processing unit; and the emotion monitoring and processing unit is connected with the sounding unit, an engine controller and an electronic steering controller through a communication bus.

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.

The invention discloses a personal driving behaviour analysis management control system, comprising a data reading terminal, a GPS (global positioning system) positing device and a server, wherein the data reading terminal is used for acquiring vehicle ECU (electronic control unit) operational data, reading automobile travelling working condition data, creating a driver operation behaviour data evaluation analysis model, giving an alarm when finding a dangerous driving behaviour, emergently recording vehicle accident data, carrying out statistic on automobile travelling mileage and fuel consumption and detecting whether vehicle emission exceeds the standard or not; the GPS positioning device is used for vehicle positioning; and the server is used for recording and analyzing driving behaviour data, timely reminding a vehicle maintenance fault by combining OBD (on-board diagnostics) vehicle diagnostic function and exchanging information with a user by virtue of an interconnection platform. The invention extracts safety and economy conditions of a vehicle owner by virtue of multiple behaviour models, provides guiding suggestions and ideas for a vehicle owner and alarms and suggests in the automobile driving process and on an Internet terminal interface, thus the system improves driving behaviour and achieves energy conversation and emission reduction, is safety in control, is economic and environment-friendly.

The invention discloses an automobile driving data interaction system based on LiFi (Light Fidelity) and a vehicle signal lighting device thereof, relates to united control of vehicle subsystems of different types or different functions, or systems and parts of a vehicle, and especially relates to a vehicle signal lighting device for carrying out information interaction based on a LiFi technology. The vehicle signal lighting devices based on LiFi are taken as headlights and taillights of the vehicle. The automobile driving data interaction system establishes bidirectional interaction of driving data through the vehicle signal lighting devices, transmits own driving state to opposite vehicles through LiFi sending modules and judges the driving states of an opposite direction vehicle and a trailing vehicle through the driving data of the opposite vehicles received by the LiFi sending modules. A vehicle control computer system analyses and processes the driving data, thereby obtaining real-time driving state information of the opposite vehicles. Alarm can be carried out on a vehicle collision accident capable of being caused by driving operation; and therefore, an effective measure is timely taken for preventing the vehicle collision or tailgating traffic accident.

The invention relates to the entertainment equipment technical field, and especially relates to frame and mechanical motion synchronization simulation racing car equipment and a simulation method; the racing car equipment comprises a drive seat, a motion adjusting platform, a simulation control steering wheel, a simulation pedal, a virtual reality helmet, a game host, and a control circuit board; the virtual reality helmet and the motion adjusting platform can mutually cooperate, so the 3D video frames in the game and the drive seat mechanical motions can be synchronized, thus building more vivid visual effect; the simulation racing car equipment and simulation method are high in simulation level, vivid in visual effect, so participants can have more vivid, dynamic and excited racing car driving experiences, and the users can be personally on the scenes.

The invention discloses a suspension device in front of a vehicle driving cab, relating to the technical field of vehicle shock absorption. The suspension device comprises a transverse stabilizer bar (10) and a first suspension device, wherein the first suspension device is arranged at the end part of the transverse stabilizer bar (10) and comprises an upper bracket (1), a shock absorber (5), an overturning arm (12) and an overturning seat (6). The suspension device in front of the vehicle driving cab is characterized in that the overturning arm (12) is located at one side of the transverse stabilizer bar (10), and the other end of the overturning arm (12) is fixedly connected with one end of the transverse stabilizer bar (10); the upper end of the shock absorber (5) is connected with the upper bracket (1), and the lower end of the shock absorber (5) is connected with the transverse stabilizer bar (10); the bottom of the upper bracket (1) is connected with the overturning arm (12); and the end part of the transverse stabilizer bar (10) is supported by the overturning seat (6). The invention also discloses a heavy vehicle with the suspension device in front of the vehicle driving cab.

The invention discloses a drive control method for an all-electric car. The drive control method aim at solving the problems that division of working modes during a finished automobile driving running is not considered, a torque compensation function is not considered in the running process of other vehicles except flooring of an accelerator pedal, and united efficiency of a power component is not considered in goal torque setting. The drive control method for the all-electric car comprises the steps of utilizing a finished automobile controller to automatically identify a finished automobile working mode according to current finished automobile acceleration mean values and an acceleration mean square errors, and enabling the finished automobile working mode to be one of a common mode, a power mode and an economic mode; working out an expected torque Treq under the corresponding mode according to a goal working mode control strategy in the finished automobile controller after the working mode identification is finished; restraining and correcting the expected torque Treq according to a power limiting value strategy in the finished automobile controller after the expected torque Treq under the goal working mode is obtained, and if a finished automobile has no major failure at the time, outputting ultimate goal torque commands to a motor.

The invention relates to an automobile driving simulation system based on a VR simulation technique and a method. Compared with the prior art, in the driving simulation process, not only are driving operations of a driver fed back, but also corresponding automobile body actions during driving are generated in real time, and meanwhile the driver state in the driving simulation process is dynamically monitored to serve as a reference of a driving behavior analysis result; in addition, a driving simulation scene is displayed by adopting the VR simulation technique replacing a plane simulation technique, virtual scenes and road conditions in the corresponding angles are generated in real time according to the sight line of the driver, therefore, the driver has the truer feel, the operation intentions of the driver and the true reflection of the driver under the different road conditions can be reflected more truly, the data collecting accuracy in the driving simulation process is improved to a large extent, and the very high reference value on detecting and researching the driving behaviors of the driver is achieved.

The invention discloses an internet of vehicles-based car periodic leasing system and method. The leasing system comprises intelligent vehicle-mounted equipment, a handheld terminal APP, a periodic leasing remote management control center and a vehicle, wherein the intelligent vehicle-mounted equipment is arranged on the vehicle and is connected with the vehicle, the periodic leasing remote management control center and the handheld terminal APP, the periodic leasing remote management control center is connected with the intelligent vehicle-mounted equipment and the handheld terminal APP through an internet, and the vehicle and the intelligent vehicle-mounted equipment are in communication connection through a vehicle-mounted bus. By the leasing system and a leasing and vehicle management method, the problems of car leasing and returning, car seeking, vehicle identification designed user opening, real-time monitoring of an enterprise, leasing vehicle management, leasing user warning and monitoring and the like of the user on the handheld terminal are solved; by automatic flow-type leasing, actions of car seeking, car driving, vehicle starting and the like of the user are facilitated, other devices are not needed to be additionally arranged, and the safety and the convenience are ensured; and meanwhile, the management of the enterprise on the vehicle is more timely and thorough.

A method and system for supervising the safety of an elevator having a car driven by a drive within a hoistway wherein a travel parameter (X_ABS,X″_Acc,X′_IGB) of the car is sensed and continually compared with a similarly sensed travel parameter (X′_IG) of the drive. If the comparison shows a large deviation between the two parameters, an emergency stop is initiated. Otherwise one of the travel parameters (X_ABS,X″_Acc X′_IGB; X′_IG) is output as a verified signal (X;X′). The verified signal is then compared with predetermined permitted values. If it lies outside the permitted range then an emergency stop is initiated.

The invention provides an automobile failure automatic-detecting system, for obtaining state signals of vehicle signal collecting units of all detected systems in an automobile, and making remote analysis of automobile failure to in time inform the driver of the automobile, and comprising: vehicle central control unit, vehicle display unit, vehicle wireless data communication unit, and wireless data communication unit and failure analyzing unit arranged in a remote service center. Besides, the invention provides an automobile failure automatic-detecting method, comprising the steps of: detecting automobile state information, transmitting automobile state information, analyzing automobile failure, transmitting automobile failure information, and displaying automobile failure information. Relative to the existing techniques, the invention can in time, visually and completely reflect the automobile failure information, improving the automobile safety performance and having a simple and reasonable structure as well as being easy to implement.

The invention relates to a method for detecting the phone holding violation of a driver in driving, and belongs to the technical field of machine vision. The method comprises the following steps of: acquiring a head image of an automobile driver, detecting a face in the head image of the driver by utilizing a face detection algorithm, and positioning a rectangular face region according to the detected face; positioning a left rectangular ear region and a right rectangular ear region according to the rectangular face region, and extracting characteristic indexes from the left and right rectangular ear regions; inputting the characteristic indexes into a mode identification algorithm, identifying whether the driver holds a phone or not in the head image, and storing an identification resultinto a phone holding result queue; and performing logic judgment on the phone holding result queue, and giving an early warning to the driver according to a logic judgment result. The method is high in real-time performance and identification accuracy; and the left-hand and right-hand phone dialing and answering behaviors of the driver can be detected and early warned, so that traffic accidents caused by the phone dialing and answering in driving can be effectively reduced, and driving safety is further improved.

An embodiment of the invention discloses an automobile driving behavior detection method and an apparatus thereof, and an automobile. The method comprises the following steps of according to an association relation among a plurality of operation characteristic parameters of the automobile, establishing an automobile operation model; collecting values of the plurality of operation characteristic parameters to train the automobile operation model so as to acquire an automobile operation prediction model, collecting driving behavior data and acquiring a predicted value of a first operation characteristic parameter corresponding to the driving behavior data; and according to the driving behavior data and the predicted value of the first operation characteristic parameter, carrying out driving behavior detection. By using the detection method and the apparatus thereof, and the automobile, based on a neural network, the automobile operation model is established; through machine learning, the automobile operation model is trained so as to acquire the automobile operation prediction model; whether a predicted value acquired through the automobile operation prediction model matches with the driving behavior data is determined; whether an abnormal driving condition is generated is determined; driving safety is increased, automobile accident generation is reduced and a life and property safety of a driver are effectively protected.

The invention provides an automobile window intelligent regulating system and a control method thereof. The automobile window intelligent regulating system comprises multiple automobile window units and an environment perception control system, wherein each automobile window unit comprises an automobile window, an automobile window driving mechanism and an automobile window controller; the environment perception control system is used for collecting environment information and emitting an automobile opening/closing signal for controlling the automobile windows of the multiple automobile window units to be opened and closed according to collected environment information and a preset control strategy, and the environment information comprises air quality information inside an automobile, air quality information outside the automobile, rainfall information and/or sunshine information; the automobile window controllers of the multiple automobile window units are configured for receiving the automobile opening/closing signal emitted by the environment perception control system so as to control corresponding automobile driving mechanisms, and thus corresponding automobile windows can be driven to open and close by the corresponding automobile driving mechanisms. In addition, the invention also provides the control method used for the automobile window intelligent regulating system.

The invention relates to a driver identity identification and driving state monitoring method based on machine learning and deep learning. Motion data of an automobile are acquired through a smart phone sensor, thereby identifying motion of a vehicle driver. Fuzzy mode identification is utilized for dividing the motion sequence of the driver to a driving operation. Then according to road traffic information and an image photographing device, front obstacles and a jam condition in automobile driving are identified through computer vision technology, and furthermore different driving scenes are divided. According to a driving operation, statistics characteristics are respectively extracted. Furthermore a characteristic vector is formed as an input of a deep neural network. The identity of the driver is identified through constructing a personal driving characteristic database and training a corresponding deep neural network model. After the identity of the driver is confirmed, the driving state of the driver at each time is identified through a recursion neural network. According to the method of the invention, multiple-signal-source data are utilized; and based on the driving operation and the driving scene, a deep learning method is utilized for improving identification accuracy.

The invention provides a driving state monitoring system and method for an automobile driver. The method comprises the following steps that the face is detected, whether the driver is placed in a detectable range at present is detected and if the face cannot be detected, the driver is prompted to adjust the position of a device till the device can detect the face; once the face is detected, a loudspeaker plays a prompt that the system starts working; image information is obtained continuously, face and mouth detection are carried out, a mouth tracking module is initialized, an eye contour positioning algorithm is called to carry out positioning, and the distance between the upper eyelid and the lower eyelid of the driver is analyzed till the analysis frame number exceeds certain number; the threshold of a blinking determination algorithm is initialized according to the distance between the upper and lower eyelids of the driver; and image information is continuously obtained from a camera, images are analyzed, and the driving state of the driver is analyzed comprehensively. According to the system and method, the driving state of the common drivers can be monitored by a machine vision technology, and behaviors of the drivers are prompted and standardized.

A wheel rotation detecting device including a sensor unit that is supported on a stationary ring which does not rotate even when the wheel is in use, and the rotation of the wheel that is attached to a rotary ring can be detected by a rotation detecting sensor held within the sensor unit. Within the sensor unit, in addition to a rotation detecting sensor, there are disposed other sensors such as a temperature sensor and a vibration sensor, thereby allowing detection of the rotation speed and the rotation number of the wheel supported on the rotary ring, as well as detection of other car driving conditions.

The invention provides an electric automobile optimal path finding method based on power consumption, and belongs to the technical field of electric automobile driving. The method includes the steps of calculating the path, namely, a first class path where the power consumption between the starting point and the ending point is the minimum, according to the starting point, the ending point and the storage battery residual electric quantity, namely, the first storage battery electric quantity, comparing the first storage battery electric quantity with the first class power consumption, and determining the optimal path according to the comparison result. The path finding scheme with the minimum power consumption between the starting point and the ending point as the index is put forward for the current situation that the running mileage of electric automobiles is poor. Meanwhile, road condition information is obtained through the real-time communication technology, and therefore the optimal path closest to the actual condition can be obtained.

The invention relates to the field of automobile driving safety, in particular to a vehicle intelligent driving control method, which comprises the following steps: in the vehicle driving process, using a laser radar to obtain the reflection point information of the road environment in front of the vehicle; determining a road boundary according to the reflection point information; determining a lane line according to the reflection point information or a road boundary; obtaining the curvature of the lane centerline according to the road boundary and the lane line fitting the lane centerline; calculating a steering wheel rotation angle to be adjusted for driving the vehicle along the lane centerline according to the curvature of the lane centerline. Laser radar is used to collect data and calculate the curvature of the road ahead, and the curvature is used to control the lateral motion of the vehicle. It has the advantages of high reliability and can improve the driving comfort, especially suitable for the automatic driving of the expressway, and can also enhance the existing adaptive cruise system.

The invention discloses an electric vehicle energy recovery system and a control method thereof. On the basis of the pressure of a brake master cylinder of an electric vehicle, a maximal brake force Fm which is allowed to be applied to a current driving wheel is obtained by calculating according to a brake force distribution curve in an electric vehicle brake system design and a driving wheel locking curve when the electric vehicle travels on a road surface with an ideal synchronous surface adhesion coefficient; and the Fm is converted into a torque, namely a maximal motor brake torque which can be applied currently so that the overall vehicle energy of the electric vehicle can be recovered to the maximum. Simultaneously, the calculated brake torque is corrected according to the requirements on the drivability and the safety of a vehicle, so that brake energy can be recovered to the maximum on the premise of ensuring the drivability and the safety of the electric vehicle.

The invention relates to a test stand system of an electric automobile driving motor, which comprises a dynamometer system and a measured motor system, a speed reducer is installed between the dynamometer system and the measured motor system and used for adjusting the rotary speed of the measured motor in the measured motor system, the electricity of the dynamometer and the measured motor is respectively supplied by two sets of power supplies, a stand motor is arranged in a feedback electric network at an alternating current end, the measured motor can have a wider voltage range, and the standsystem has high efficiency and can carry out hardware-in-loop test for electric automobile power assemblies.

In a gasoline pump system, means for concurrent filling of more than one car, tank or container with gasoline or other liquid petroleum products, comprising a display for guiding car drivers to a gasoline pump system having an outlet available for fueling, and a display for enabling each driver to identify the outlet used for filling his/her car, and to distinguish it from outlets used for filling other cars. A method for concurrent filling of more than one car, tank or container with gasoline or other liquid petroleum products, comprising the steps of: A. Guiding car drivers to a gasoline pump system having an outlet available for fueling; and B. Enabling each driver to identify the outlet used for filling his/her car, and to distinguish it from outlets used for filling other cars.

An alert system for an automobile is provided with in combination a buzzer; a lamp; two sensors each disposed in a vehicle door of either side of the automobile; two activation devices each disposed in the vehicle door of either side of the automobile and operatively connected to an inner door handle; and a controller electrically connected to the activation devices, the buzzer, the lamp, the sensors, indicator lights, and a horn. After parking the automobile, one sensor sensing a vehicle coming from behind and one side, and a vehicle door being opened by pulling the inner door handle, the activation device is activated by the inner door, a signal is generated by the activation device, and the signal is sent to the controller which instructs the buzzer to make a buzzing sound, the lamp to light, the indicator lights to flash, and the horn to sound an alarm.

The invention discloses a fuzzy nerve network control method for an automobile driving robot system. The method comprises: performing speed tracking on a test vehicle from the characteristic parameters of an automobile driving robot gearshift manipulator, a throttle mechanical leg, a brake mechanical leg and a clutch mechanical leg; utilizing a Sugeno fuzzy nerve network to realize the speed tracking and control of an automobile driving robot, inputting characteristic parameters, adopting a generalized bell-shaped function for a membership function in terms of type, using a mixing learning algorithm to train and optimize network parameters, and determining optimum network parameters; and according to the optimum network parameters and four characteristic parameters detected in real time of the automobile driving robot, using the Sugeno fuzzy nerve network to perform speed tracking and accurate control on the automobile driving robot. The method disclosed by the invention is provided with an on-line self-learning capability, can accurately track a given target speed, and has good robustness in various test conditions.