3196 results about "Car driving" patented technology

The present invention relates to a parking system, which comprises: (a) plurality of Curb Devices for communication with car device and a host, each Curb Device having its own unique Curb Device ID and is installed close to a corresponding parking space; the Curb device is also provided with a sensor for sensing a physical positioning of a car within the respective parking space; (b) plurality of Car Devices, each Car Device is provided with its own unique Car Device ID, and is positioned at a corresponding car at a location which is visible from the outside; and (c) a Host which is provided with Users Data and Parking Spaces Data, for remotely managing, billing, enforcing and controlling on line and in real time parking of vehicles at each of said parking spaces. The invention also enables a driver of a car which is not provided with a car device to use a cellular alternative, where the driver uses his cellular phone to report to the Host the Curb Device ID, as visually displayed, while his phone number serves as a replacement for the Car Device ID. The invention also relates to a parking enforcement by the system of the present invention, which enforces parking in real time, while providing to the enforcement inspector the exact parking location where a proven violation has occurred.

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 a method for calculating the torque required by an electric automobile driver. The method includes the following steps that the style of the driver and the driving intension of the driver are detected, and the required torque is calculated; the safe interval is detected, and safety modification is conducted on the required torque. According to the method, the driving style and the driving intention of the driver are recognized, torque coefficients required under different styles and different intentions are adjusted, and therefore power is obviously improved for a dynamical type driver under the situation the opening degree does not approach the opening degree of a saturated accelerator pedal, power changes are gentle for an economical type driver under the situation of the normal small pedal opening degree, the situation that economical efficiency is reduced when the load changes of a power system are overlarge is easily reduced, the required torque can be increased according to the emergency degree of acceleration, and the instant requirement of the driver for the dynamic property of the automobile is met. Due to the fact that the maximum torque required by the driver is limited within the critical safety modification distance, when the calculation result is smaller than zero, the torque required by automobile power is forced to reset; the automobile can safely run after other automobiles, and tailgating traffic accidents are avoided.

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 automobile stepped automatic transmission multi-property comprehensive optimal shift decision making system is disclosed. A shift rule optimizing module off-line-calculates multi-property comprehensive optimal shift rules in different driving intentions, and stores the multi-property comprehensive optimal shift rules in a shift rule database; a signal acquisition module acquires automobile state information and driver operation information in a running process of the automobile in real time, and stores the automobile state information and the driver operation information in an automobile driving state database; a driving intention recognition module online-recognizes a shift property expectation of a driver, and quantizes the shift property expectation; a target shift decision making module selects or construct a shift rule on the basis of the shift rule database according to the shift property expectation quantized value, and determines a target shift; and a shift execution module completes a shift operation according to the target shift. The automobile stepped automatic transmission multi-property comprehensive optimal shift decision making system can optimize the power property, the fuel economy and the emission property of the automobile on the premise of embodying the driver shift property demand.

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 discloses an automobile drive simulation system based on a flexible transparent OLED and a control method of the automobile drive simulation system. According to the technologies of the automobile drive simulation system, display of basic vehicle information (including an automobile speed, an engine rotation speed, a cooling water temperature, a battery charge state and the like), augmented virtual reality navigation, pedestrian sensing, front vehicle anti-collision early warning, lane departure early warning, high-light-sensitivity night vision assisting, and vehicle-mounted communication display are involved. The devices of the automobile drive simulation system comprise a flexible transparent OLED display screen, a micro-processor, a camera, a sensor, a GPS chip, a laser millimeter-wave radar, a 3G network chip, a communication and electric power hardness and the like. The automobile drive simulation system is placed on a windshield in front of a driver, can effectively overcome the defects that an automobile head up display system is large in size and contains a small amount of display information and the like, effectively avoids the potential safety hazards which may be caused when the driver checks a central display screen and diverts attention, enables information to be more visual and easier to read, achieves stronger feeling of reality, provides more abundant information and is lower in energy consumption.