4400results about How to "Ensure driving safety" patented technology

The invention discloses an intelligent driving system and a control method of the intelligent driving system. The system comprises a road condition sensing unit, a control unit, an execution unit and an automatic driving switch. The road condition sensing unit comprises a GPS navigator, a camera and radar. The control unit comprises a receiving module, an assessment module and an execution module. The execution unit comprises an accelerator pedal, a brake pedal, gears and a steering wheel. The receiving module of the control unit receives the information from the road condition sensing system. The assessment module assesses the current road condition according to received information. If the current road condition is suitable for automatic driving, the value of automatic driving speed under which safety can be guaranteed is worked out, and the execution unit controls an execution component to execute corresponding operation according to the assessment result. According to the intelligent driving system and the control method of the intelligent driving system, the utility progress of the automatic driving technology is accelerated, the workload of a driver is reduced, the possibility of misoperation caused by manual driving is reduced, and driving safety is improved.

The invention proposes a lane keeping assist system and a lane keeping assist method. The method comprises the steps of comprehensively detecting a people-vehicle-road driving environment through a lane environment detection module, a vehicle state detection module, a driver driving state detection module and a vehicle and road surface rolling friction coefficient detection module; calculating a corresponding detection signal through a lane keeping control module; judging whether a vehicle deviates from a lane or not; performing transverse lane return-to-center control through cooperative control of an electric power steering system (EPS) and an electronic stability program (ESP), and keeping a longitudinal safety distance through ESP control; and giving an alarm for reminding. Through the technical scheme provided by the invention, the driving safety of vehicle driving is remarkably improved; and the lane keeping is realized through the cooperative control of the EPS and the ESP, so that on the premise of ensuring the driving safety of the vehicle, the working comfort of the lane keeping assist system can be improved to the maximum extent.

The invention provides an automatic driving method and an automatic driving system. A corresponding relation among vehicle body parameters of the motor vehicle, a vehicle speed and an optimum turning angle of the motor vehicle are acquired firstly; a driving state of the motor vehicle is adjusted to be an ideal state when optimum maneuvering strategies are lane switching, overtaking and turning driving maneuvering operation; the speed of the motor vehicle and a distance of front and back wheel shafts are acquired; contrast between the speed of the motor vehicle and the corresponding relation is carried out to acquire an optimum turning angle of the motor vehicle; a turning radius of the motor vehicle is acquired according to the optimum turning angle of the motor vehicle and the distance of the front and back wheel shafts; and a lane switching path locus of the motor vehicle can be planned according to the optimum turning angle and the turning radius of the motor vehicle. Through the method and the system, the lane switching path locus of the motor vehicle under an automatic driving state can be planned according to the optimum maneuvering strategies, and most accurate reference basis is provided for automatic driving of the motor vehicle.

The invention discloses a method for determining the driving state of a vehicle based on an acceleration sensor. The method comprises the following steps of: A, acquiring the longitudinal acceleration, the transverse acceleration and the vertical acceleration of an automobile by using a three-axial acceleration sensor; B, calculating a conversion matrix of an automobile coordinate system and an acceleration sensor coordinate system, acquiring the initial attitude of the acceleration sensor, namely the initial angle between the acceleration sensor and the automobile, and performing zero bias filtering processing on the acquired accelerations so as to acquire the acceleration value of the automobile coordinate system; and C, determining the driving state of the vehicle according to the acceleration values of a plurality of continuous automobile coordinate systems. In the method for determining the driving state of the vehicle based on the acceleration sensor, the original data is acquired by the acceleration sensor, and the driving state of the vehicle is determined by analyzing and processing three axial accelerations, so that the driving behaviors and the driving state of a driver are known, vehicle managers are assisted in normalizing the driving behaviors, dangerous driving behaviors are prevented, and driving safety is ensured.

The invention relates to a method for detecting fatigue driving and driving in an abnormal posture under multiple postures. The method comprises the following steps: step 1, image acquisition: acquiring driver image information; step 2, image recognition: carrying out real-time face detection on the acquired images; step 3, face feature point calibration: calibrating feature points of eyes and a mouth of the detected face; step 4, judgment of the states of the eyes and the mouth: for the feature points, analyzing the closing states of the eyes and the mouth by adopting an eye state detection method on the basis of face width information; step 5, detecting of three-dimensional posture of the head: detecting the three-dimensional posture of the head through geometrical characteristics; step 6, judging of the states of fatigue driving and driving in the abnormal posture: judging whether the driver is in fatigue or not according to the closing states of the eyes and the mouth, and judging whether the driver is in the abnormal driving state or not according to the three-dimensional posture of the head.

A pure electric automatic driving system provided by the present invention comprises an environmental information acquisition system, a perception fusion unit, an intelligent decision unit, a vehiclemotion coordination controller and a vehicle execution system which are connected orderly, wherein the intelligent decision unit outputs the local paths that a vehicle can drive and the correspondingdriving behavior instructions to the vehicle motion coordination controller, and the vehicle motion coordination controller realizes the transverse motion control and the longitudinal motion control of the vehicle, so that the automatic driving system is modular in function division and normalized in information interfaces, the application scenes of the automatic driving functions are helpful to be expanded, and the riding safety experiences of the automatic driving vehicles, for example, the safe and comfortable automatic driving at a faster vehicle speed and on a faulted working condition, are improved. In addition, the vehicle motion coordination controller monitors the real-time state of the whole automatic driving system, so that the fault states can be identified timely, the reasonable countermeasures can be made, and the driving safety of the automatic driving under various states is guaranteed.

The invention discloses an automatic driving control method and device and an automobile. The method includes the steps that identity information of a driver and traveling state information in the traveling process of the automobile are obtained; according to the identity information and the traveling state information, a mapping relation, established in advance, between the traveling state information and driving parameters of the driver is searched for, and historic driving parameters of the driver under the traveling state information are obtained; and a corresponding automobile power assembly is controlled to conduct automatic driving according to the historic driving parameters. The identity information of the driver and the current traveling state information of the automobile are acquired, the historic driving parameters of the driver under the current traveling state information are searched for, due to the fact that different drivers have different driving habits and different traveling strategies are provided for different traveling states, the automobile is automatically controlled according to the historic driving parameters, automatic adjustment can be conducted according to the changes of the driver or the changes of the traveling state while the automobile is automatically driven, and traveling safety is further guaranteed.

The invention discloses a real-time trajectory planning method for an autonomous vehicle. The real-time trajectory planning method comprises the steps of: S1, acquiring relevant information of the autonomous vehicle in real time; S2, generating a reference trajectory, a feasible trajectory cluster determined by means of the reference trajectory and a speed corresponding to each feasible trajectoryin the feasible trajectory cluster based on the relevant information of the autonomous vehicle; S3, calculating an action of each feasible trajectory according to the feasible trajectories and the corresponding speeds thereof by utilizing a target optimization function taking safety and efficiency as targets, and selecting the feasible trajectory with the least action as the expected optimal trajectory, and carrying out optimization to obtain an expected optimal velocity corresponding to the expected optimal trajectory, wherein the target optimization function is obtained according to the principle of least action and an equivalent force method. The real-time trajectory planning method can enable the autonomous vehicle to imitate driving features of a driver in an unknown environmental condition, and can plan a trajectory that best meets the driver's driving expectation by taking the safety and efficiency as the driving targets according to the surrounding vehicles and environmental information in real time.

A universal Automatic Train Protection ATP vehicle mounted system and mode control method. The invention mainly uses digital signal processing and safe redundant control technology, designs a safe Protection Automatic control system which can receive many varieties of ground vehicles information transmission modus, realize the combination of the train speed steps control and the first-order speed-distance model curve and realize the generalization of vehicle automatic protection system vehicle mounted equipments. And the ground vehicles information transmission modus consists of analog and digital track circuit, responder, GSM-R transmission, 2.4GHz wireless transmission, etc. the safe protect control is the safe braking model control using the combination of speed steps and first-order speed-distance model curve. The system mainly consists of power module, ground vehicles information transmission reception module, central processing module, recording module and man-machine interface MMI module, etc. The beneficial result is getting a solving program for users on the base of reducing construction costs and intercommunicating transport operation.

The invention discloses a vehicle monitoring system based on Beidou system. The invention is characterized in that the system is composed of a Beidou ground monitoring centre, a Beidou navigating and locating satellite and a Beidou vehicle-mounted system, wherein the Beidou navigating and locating satellite is dependent on current satellite system built by Beidou network system. The Beidou vehicle-mounted system comprises a Beidou terminal and a train network. The train network is a current TCMS system, wherein the TCMS system comprises a vehicle dragging sub-system, a vehicle braking sub-system, a vehicle signal sub-system and a vehicle broadcasting sub-system. The TCMS system is communicated with a Beidou terminal via an RS232 interface to provide vehicle state information to the Beidou terminal on one hand, and to receive Beidou navigating and locating information, time service information and control instruction from the ground monitoring centre on the other hand so as to control the operation of the vehicle. The Beidou terminal is communicated with the locating satellite. The locating satellite is used for transmitting the locating information and vehicle state information to the ground monitoring centre. The centre is used for transmitting the information to all ground monitoring terminals so that the operated vehicle can be monitored and all operated vehicles can be monitored and controlled.

The invention discloses a system and a method of vehicle management based on Beidou satellite navigation. A vehicle-mounted Beidou positioning terminal comprises a microcontroller, a wireless communication module, a Beidou positioning module, a speed sensor, an accumulated driving time recording module, a fuel quantity detecting sensor, a fuel cutoff control interface, a fatigue detection device and an engine start-up / shutdown state detection device; a vehicle management server comprises a fatigue driving analysis and alarm module, a boundary violation alarm module, a remote fuel cutoff module, a sub-meter positioning and navigation service module and an all-time and all-weather navigation positioning and timing service module. The driver's accumulated driving time can be reliably recorded by a timer and a pressure sensor arranged on a driver's seat; the detection and identification of fatigue driving can be realized comprehensively in the combination of driver's sitting time on the driver's seat, clock-punching time, fatigue detection based on eyes' image identification and engine start / shutdown states; high accuracy and good reliability can be realized and the driver's fatigue driving state can be identified effectively.

A vehicle intelligent method for automatically identifying road speed-limit sign in the technical field of information processing includes the following steps: step one, two pinhole cameras are respectively installed at the edge of the inner side of the vehicle front far-sight lamp; step two, the two pinhole cameras collect road surface scene images in real time, and the collected images are respectively transported to a signal processor; step three, the images are processed by eliminating image distortion; step four, aiming at corner points that already found out, the mutual matching of corner points is automatically realized in left and right views under the instruction of epipolar constraint; step five, the three-dimensional coordinate figure of object point is ensured; step six, pit or obstruction is identified; step seven, the vehicle driving is controlled; step eight, a cyclic process is carried out by repeating step two to step seven. The invention can further improve automatization and intelligentialization level on the aspect of guaranteeing the safety of vehicle driving without vehicle damages or traffic accidents due to pit or obstruction appearing on the road.

The invention discloses a bogie for a high-speed rail wagon. The bogie comprises a framework, wherein two transverse ends of the framework are connected with a wheel set through two single-stage suspension systems respectively; a double-stage suspension system and a foundation brake device are arranged on the framework; and the front side and the rear side of the framework are provided with an anti-snakelike damper respectively. By the bogie, two-grade requirements that the shaft weight is 16.5t when the speed of the wagon is 200km / h as well as the shaft weight is 18t when the speed of the wagon is 160km / h can be met simultaneously; and the bogie has the remarkable characteristics of simple structure, high popularity and reliable performance.

The invention discloses a coordination control method for a crossroad left-turning pre-signal and a straight-going successive signal, which comprises the steps that: a main signal lamp is arranged at first in the middle of a crossroad, left-turning pre-signal lamps are respectively arranged at first stop lines of four left-turning entrance lanes for left turning vehicles, straight-going successive signal lamps are respectively arranged in front of second stop lines of four exit lanes for straight-going vehicles; a main signal phase, a phase difference between the left-turning pre-signals and the straight-going successive signals, and a phase difference between the straight-going successive signals and the main signal are then configured, time allocation is prepared, the sum of key flow ratios of the phases is calculated, and the time for green light is finally allocated; according to the method disclosed by the invention, the contradiction in the aspect of time between the left-turning vehicles and the straight-going vehicles is thoroughly settled by means of the coordination control for the main signal, the pre-signals and the successive signals, thereby guaranteeing drive safety; the entire cycle for the coordination control only needs to be calculated once, which is fast and convenient, and the method effectively avoids that the adoption of traditional time allocation method is likely to lead to the jam of left-turning vehicles.

The invention discloses a remote live-action designated driving system. The remote live-action designated driving system comprises a live-action driving control system and a vehicle intelligent control system, wherein the vehicle intelligent control system accesses the Internet by the 3rd generation telecommunication (3G) or a wireless fidelity (WIFI) network transmission equipment to perform real-time communication with the live-action driving control system; the live-action driving control system accesses the vehicle intelligent control system by the Internet and a mobile network to perform real-time communication of video, driving control commands, state parameters, voice and the like with the vehicle intelligent control system; and the live-action driving control system performs remote driving operation on vehicles according to remote vehicle video information which is acquired in real time, so that a mode of driving the vehicles manually is replaced, and the remote designated driving of the vehicles is realized. Compared with the prior art, the remote live-action designated driving system has the advantages that the remote live-action designated driving system can be used as an auxiliary driving system for the vehicles, drivers can be replaced under the special conditions, so that the remote auxiliary driving of the vehicles is realized, and the safety of the driving is effectively guaranteed.

The invention discloses an automatic driving method and device and a vehicle. The method comprises the following steps: detecting a traffic signal at an intersection in the driving direction of the vehicle; determining a path from the vehicle position to a target position of the intersection; applying different acceleration curves to the path to obtain different trajectories corresponding to the path, wherein the trajectories comprise speed and time of each position in the path; according to the state indicated by the traffic signal, selecting a driving model corresponding to the traffic stateof the intersection; selecting a trajectory matched with the vehicle speed from the different trajectories; and according to the selected trajectory, carrying out at least one slow-down driving process and at least one constant speed driving process on the path, and then, reaching the intersection. The method can control the vehicle to drive safely and stably under the environment comprising theintersection.

An intelligent traffic management system based on inter-vehicle network comprises a wireless communication module, a calculation module, a control module, a traffic light signal display module, a storage module and a fault detection module; the system is communicated with an inter-vehicle network managing device on a vehicle by the wireless communication module, and calculates traffic flow and vehicle density at an intersection via combining with the algorithm in the calculation module. The technical scheme of the invention can effectively solve the technical problems that the traffic signal control system in the prior art can not obtain the traffic flow and the traffic speed precisely, so as to cause low road passing-through efficiency, and energy sources and time are wasted; the traffic information of the vehicles at intersections can be precisely obtained, so as to adjust the time of the traffic lights in time and improve the road passing-through efficiency; the speeds of special vehicles like fire trucks, ambulance and the like are ensured; the function of automatic fault detection is provided; the time of the traffic lights at intersections is optimized; and the traffic efficiency is improved.

The invention discloses a torque monitoring method and system thereof for electric automobiles, and belongs to the technical field of the control of electric automobiles. The torque monitoring method comprises the following steps: detecting vehicle control signals and vehicle state signals, and calculating the actual torque of a motor according to the detected signals; judging whether the control system of the whole vehicle is failed or not, if yes, generating fault adjusting torque according to the type of the fault; when the control system of the whole vehicle is normal, using the actual output torque of the motor as demanded torque, else, using the fault adjusting torque as demanded torque; calculating a torque threshold according to the vehicle control signals, the vehicle state signals and the capabilities of components and parts; making a comparison between the demanded torque and the torque threshold, and limiting the demanded torque within the range of torque threshold so as to obtain output torque. The technical problem that the vehicle is out of control because of the fault of the controller of the whole vehicle is solved, particularly, the output demanded torque can be monitored, so that the sudden change of the demanded torque or the phenomenon that the demanded torque exceeds the seasonal threshold range can be avoided.

The invention discloses a high polymer anti-leakage dense patching material, which comprises by weight hot plastic elastomer 40-60%, thickener 40-60%, softening agent 08%, anti-aging agent 0-2%, catalyst 0-1%, and filling agent 0-15%. The invention also discloses an anti-leakage tyre containing above mentioned high polymer anti-leakage dense patching material, which can efficiently prevent tyre from air leakage and tyre bursting due to pricking of the tyre, guarantee safety in running of vehicles and prolong the service life of tyres. And the use effect of the tyres will not be affected due to the machining (for example dynamic balancing, operation, braking, comfortableness and load bearing capacity, etc.).

The invention relates to a special-region band-type private network transportation communication navigation monitoring and warning device. The device comprises an LTE (long term evolution) private network communication base station, a GPS (global positioning system) / Beidou dual-mode positioning foundation reinforced reference station, a multifunctional vehicle-mounted multimedia information terminal, a sparse distributed monitoring and LED induced warning device, a traffic warning mobile phone APP (application), a tracking body aerial photography system, a microclimate acquisition device, a distributed automatic snow and frost removing device and a background control and data center. By the device, highway all-section non-blind-area high-speed wireless data communication services and highway vehicle sub-meter high-precision navigation and positioning are realized, lanes where vehicles are located are identified accurately, illegal acts such as overspeed and road occupation of the vehicles are judged, accident information is identified through fixed-point monitoring and fixed-point cruising of unmanned aerial vehicles, along-highway meteorological information is acquired in real time, warning information is released in time, and snow-melting agent is sprayed automatically in snowy and frosty weather so as to guarantee traffic safety.

The invention discloses a frost damage prevention drainage system for a tunnel. A heat-insulating buried water trench (6) is arranged below a primary support layer (1); multi-section draining pipes (7) are arranged in the heat-insulating buried water trench (6); an inspection shaft (8) is arranged between two adjacent draining pipes (7); the lower end of the inspection shaft (8) is communicated with the draining pipe (7); waterproof plates (11) are fully paved between the primary support layer (1) and a secondary lining concrete layer (2); annular punching bellows (12) and longitudinal punching bellows (13) are arranged on the outer sides of the waterproof plates (11); and openings at the lower ends of the annular punching bellows (12) are positioned in a gravel water seepage layer (10). According to the frost damage prevention drainage system disclosed by the invention, the phenomenon that the draining pipeline of a tunnel drainage system is blocked in severe cold regions due to freezing can be effectively prevented, the damage to a tunnel lining structure is avoided, the driving safety is ensured and the cleaning and maintaining expenses during operation are greatly reduced. The frost damage prevention drainage system has the characteristics of simple structure, easiness in implementation, favorable reliability, easiness in popularization and the like.

The invention discloses a GPS (Global Positioning System) track irregularity detection system and method. The system comprises a measuring unit and a data postprocessing unit, wherein the measuring unit comprises a moving bracket movably arranged on the surface of a track, and a measuring device; the measuring device is rigidly fixed on the moving bracket and comprises two independently-arranged measured data acquisition recorders; the measured data acquisition recorders are used for measuring state data of the moving bracket in real time and recording the state data measured at every time to a data recording unit according to a time sequence arrangement; and the data postprocessing unit is used for processing the state data recorded in the data recording unit in an off-line way. The GPS (Global Positioning System) track irregularity detection system and method disclosed by the invention have the advantages of high measurement precision, high measurement speed and complete measuring functions.

The invention is a kind of high intelligent real-time traffic control device and the method. It includes: intelligent road net -e control box, localization / navigation system, road net system, wireless mobile communication device. The intelligent road net -e control box is set in the vehicles, the main system includes road net data memory, road net data change memory, road net system / function memory, wireless communication module. The intelligent -e control box is used to store and apply the optical coordinate localization, whole world satellite localization system, difference whole world satellite localization system, Bluetooth, and the data and road net information, charging rate, road rules and regulations, navigation, added service content. The wireless communication device connects with the intelligent road net -e control box, which is used to communicate wirelessly and display the road state information, navigation system.

The invention discloses a highway rear-end collision prevention early warning system which relates to the technical field of traffic safety facilities. The highway rear-end collision prevention early warning system comprises control terminals (K) which are arranged at an entrance and an exit; monitoring subnetworks are arranged at N monitoring points of a highway full-range two-way lane, and the long-distance wireless communication between each monitoring subnetwork and the control terminal (W) is realized through a GSM / GPRS (Global System for Mobile Communications / General Packet Radio Service) wireless communication module (W); and each monitoring subnetwork mainly comprises a plurality of ultrasonic probes, a multi-machine communication interface circuit and an acousto-optic warning board (P). The invention has low expense and convenient construction, can accurately and reliably monitor and compute the vehicle speed, the lane and the front-and-rear vehicle distance of driving vehicles, can adjust the early warning threshold values of the safe vehicle interval and the vehicle speed according to the change of visibility, can early warn rear-end collision, overspeed, low speed, traffic jams of a forward road and the like, improves the smoothness ratio of the road, ensures the driving safety and is suitable for highway rear-end collision prevention early warning.

The invention discloses an automobile anti-collision safe protecting method based on image processing. The automobile anti-collision safe protecting method based on image processing comprises an automobile safe automatic protector image identifying system, the automobile safe automatic protector image identifying system comprises a multi-core processor, an automobile-speed collecting module, a plurality of cameras, a displaying module, an alarming device and a positioning device, the automobile-speed collecting module, the cameras, the displaying module, the alarming device and the positioning device are all connected with the multi-core processor, and the multi-core processor is connected with a braking motor for an automobile safe automobile protector. The automobile anti-collision safe protecting method based on image processing is simple and easy to achieve, small in operand and capable of effectively avoiding occurrence of collision accidents, and ensures traveling safety of an automobile. The automobile anti-collision safe protecting method based on image processing can further be applied to transportation tools like airplanes, ships and high-speed trains.

The invention provides a self-adaptive cruise control method and device of a vehicle, and the vehicle, and relates to the field of vehicles. The method comprises the following steps: detecting whether an obstacle exists in front of the vehicle; when the obstacle is detected in front of the vehicle, controlling self-adaptive cruise control of the vehicle according to the distance between the obstacle and the vehicle, the absolute difference between the moving speed of the obstacle and a preset vehicle speed of the vehicle and the closet distance between the obstacle and the lane line of a lane where the vehicle is. Therefore, an effective control strategy is provided for the self-adaptive cruise control of the vehicle, so that the traffic safety is guaranteed to a certain extent.

The invention provides a vehicle-mounted intelligent system with a virtual instrument and information entertainment terminals. The vehicle-mounted intelligent system comprises a uniprocessor platform, the virtual instrument and the information entertainment terminals, the virtual instrument and the information entertainment terminals operate in an Xen virtualization system on the uniprocessor platform, the Xen virtualization system can divide the uniprocessor platform, and the uniprocessor platform is made to support concurrent operating of a plurality of operation systems. A plurality of interaction devices on the uniprocessor platform are distributed to the different operation systems to be scheduled and used through being mapped to different addresses. The vehicle-mounted intelligent system with the virtual instrument and the information entertainment terminals integrates the virtual instrument and the information entertainment terminals, and the operation systems of the information entertainment terminals are independent and are not interfered. The virtual instrument can be loaded preferentially, and starting speed is high. The operation systems operate on the uniprocessor platform based on a virtual technology, the occupied space can be reduced, system cost and complexity can be lowered, and reliability can be improved.

The invention discloses an automobile and a driver fatigue early warning detecting method and system for the automobile. The driver fatigue early warning detecting system comprises a video collecting module, a facial recognition module, an eye detecting module and a judging module, wherein the video collecting module is used for collecting image information of passengers inside the automobile, the facial recognition module is used for processing the image information of the passengers inside the automobile to obtain facial characteristic parameters of a driver and obtaining facial position information of the driver according to the facial characteristic parameters of the driver, the eye detecting module is used for obtaining eye area information of the driver according to the facial position information of the driver and obtaining eye characteristic parameters of the driver according to the eye area information of the driver to detect eye characteristic information of the driver, and the judging module is used for judging whether the driver is in the fatigue state or not according to the eye characteristic information of the driver. According to the driver fatigue early warning detecting system, the driver inside the automobile can be automatically recognized, fatigue processes and movements of different drivers can be studied, the fatigued characteristics of the driver are memorized, and whether the driver is in the fatigue state or not is judged.

The invention relates to a vehicle pavement identification system and a suspension mode switching method and belongs to the field of automobile safety and comfort. A suspension mainly comprises sprung mass, an elastic element, a damper, a linear motor, unsprung mass, an acceleration sensor A, an acceleration sensor B, a displacement sensor A, a displacement sensor B, a current amplifier, an A / D converter, a signal storage unit, an ECU, a power amplifier and a D / A converter. The ECU (14) comprises a signal processing module, an analysis module, a judgment module and a control module, receives displacement signals and acceleration signals, measured by the vehicle sensors, of the sprung mass and the unsprung mass, grades road conditions by combining the vehicle speed and the damping coefficient and meanwhile controls the suspension by combining vehicle working conditions and switching different modes to meet the requirements of safety and comfort. According to the vehicle pavement identification system and the suspension mode switching method, the linear motor is adopted as an actuator, brake energy of the suspension can be recovered under good road conditions for supplying to other systems for using, and energy feedback performance is achieved.

The invention discloses an unmanned vehicle steering system and a control method thereof. The system comprises an execution motor, a steering machine, a motor coder, a non-contact type zero position detection mechanism, a non-contact type left limiting detection mechanism, a non-contact type right limiting detection mechanism, a front wheel absolute corner mechanism and a front wheel corner double closed loop control system. The execution motor is a steering driving mechanism, and the input end of the execution motor is connected with the output end of the steering machine. The motor coder is connected with an output shaft at the back end of the execution motor. The unmanned vehicle steering system is favorable for improving steering control accuracy of unmanned vehicles, adopts a selector switch to switch the control process of manual driving / automatic driving, facilitates program debugging and ensures vehicle and personnel body safety under the emergency condition.