38results about How to "Realize intelligent driving" patented technology

The invention provides a power and chassis domain control framework and a car, and relates to the technical field of car structures. The power and chassis domain control framework comprises a power and chassis domain controller, one or more power domain executing devices and one or more chassis domain executing devices, wherein the power and chassis domain controller is used for generating a control instruction according to a received request instruction, the power domain executing devices and the chassis domain executing devices are connected with the power and chassis domain controller through controller area network buses with the flexible data rates correspondingly and used for executing corresponding operation according to the received control instruction sent by the power and chassisdomain controller for adjusting the state of the car. According to the power and chassis domain control framework and the car, through integration, standardization and platformization of car longitudinal and transverse control functions, the executing rate of the car control instruction is increased, the safety of car information is improved, and the car cost is lowered.

The invention relates to an automatic control system of a vehicle, in particular to an automatic control system of an unmanned bus. The automatic control system of the unmanned bus comprises a main control room (1), a PLC control system (2), a vehicle-mounted computer (3), a navigation system (4), a hedging anticollision system (5) and a whole vehicle controller (6), wherein the main control room (1) is in wireless connection with the PLC control system (2); the vehicle-mounted computer (3), the navigation system (4), the hedging anticollision system (5) and the whole vehicle controller (6) are all electrically connected with the PLC control system (2); the navigation system (4) is in signal connection with a ground base station (7), a receiving antenna (8), an RTK module (9), a gyroscope (10), an RFID card reading system (11) and an RFID label (12). The automatic control system of the unmanned bus acquires real-time position information of the vehicle in the driving process through the navigation system (4) and the like, and drives the vehicle according to the information so as to achieve the purposes of unmanned operation and automatic driving of the vehicle.

The invention discloses a vehicle collision-preventing auto alarm device, comprising: acceleration sensor, amplifier circuit, A / D converting circuit, microprocessor, wireless receiver module, horn antenna, and alarm speaker. And the invention also discloses a vehicle collision- preventing auto alarm method with five steps. The invention can not only play a role in providing vehicle collision caution and effectively avoid traffic accidents of interlinked vehicle trace to tail, but also largely raise effective alarm rate, able to effectively control traffic accidents. And it can largely reduce traffic accident occurrence and implement intelligent automobile driving by further development.

The invention provides an intelligent network vehicle rear-mounted wire control device. The intelligent network vehicle rear-mounted wire control device is used for realizing the intelligent driving of a vehicle. The intelligent network vehicle rear-mounted wire control device comprises an electronic throttle controller, a brake actuator, a steer auxiliary controller and a light controller. The electronic throttle controller comprises an analog quantity input unit, an analog quantity output unit, a single chip microcomputer and a CAN driver. The brake actuator comprises a hall position sensor,a direct current motor with a winding roll and a braking executing controller. The steer auxiliary controller comprises a motor driver, a two-way analog quantity input unit, a two-way CAN driver anda single chip microcomputer. The light controller comprises a relay, a CAN driver and a single chip microcomputer. The intelligent network vehicle rear-mounted wire control device can realize the intelligent driving of vehicles.

The invention relates to a design of an intelligent tracking electric toy car based on the non-contact power transmission technology, which comprises a direct-current stabilized-voltage power source (provided with a primary rectifying circuit), a transmitting device (comprising an intelligent tracking coil) and an electric toy car (carrying a receiving device and a secondary rectifying circuit). After the electric toy car is connected with a 220v general home lighting power source and provided with a wireless remote controller, the electric toy can run around the tracking coil with the diameter of 2m intelligently, and can run freely within the circumference in the diameter of 5m. The design of the intelligent tracking electric toy car based on the non-contact power transmission technology is light in structure and flexible in operation. The electric toy car can run continuously by means of non-contact power transmission without use of batteries, is suitable for the group of children to play widely and is energy-saving and environment-friendly.

The invention relates to an electric control and hydraulic integrated type multi-cylinder braking caliper. The electric control and hydraulic integrated type multi-cylinder braking caliper is characterized by comprising a braking caliper body, pistons, a thread sleeve, a screw, an internal braking block assembly, an external braking block assembly, a support, a guiding pin and a bolt. The electriccontrol and hydraulic integrated type multi-cylinder braking caliper belongs to a disc brake, can provide larger braking force, can be applied to a commercial vehicle, and is good in heat dissipationproperty and good in braking efficiency water stability and heat stability; the electric control and hydraulic integrated type multi-cylinder braking caliper has the traveling braking function and the parking braking function simultaneously, can be controlled through an electronic transmission device and a hydraulic transmission device, has the emergency braking function and is reliable and stable in working, compact in structure and easy to arrange; the parking function is electronically controlled so that braking force of the vehicle on different slopes can be automatically adjusted, and the automatic parking function can be achieved; and the adopted thread sleeve is of an integrated double-pressing-head structure, each braking block assembly is provided with two force bearing parts, thus the force bearing area is increased, force bearing is uniform, braking blocks are not liable to tilt, good contact of the braking blocks and a braking disc is ensured, abrasion is balanced, and thus the service life of a brake is prolonged.

The invention provides a self-adaption control method of an intelligent vehicle system. According to the method, a mobile phone is used for identification recognition to automatically adjust individualization setting in a vehicle, a comfort environment which is satisfied by an owner is achieved, and real intelligent driving is achieved. The method comprises the steps that 1, NFC Bluetooth connecting between the mobile phone and ICC is conducted; 2, the MAC address of the mobile phone is obtained to be used for identification recognition; 3, whether or the MAC address of the mobile exists is judged, if yes, step 6 is started, and if not, step 4 is started to perform setting; 4, an in-vehicle individualization setting interface is popped up by the ICC; 5, the environment in the vehicle is set by a user through the setting interface, whether or not setting values is saved is selected, if yes, step 6 is started, and if not, the current in-vehicle individualization setting values are arranged to be default values; 6, the environment in the vehicle is updated to be the arranged values.

The invention relates to a wireless power supply intelligent electric automobile design, which comprises a direct current voltage stabilizing power supply, an emitter (3) and an electric automobile, wherein the direct current voltage stabilizing power supply is provided with a primary rectifying circuit (2), and the electric automobile is provided with a receiving device (4) and a secondary rectifying circuit (5). When the electric automobile works, only a 220V family ordinary illumination power supply needs to be connected, and under the condition of additionally adding a wireless remote controller, the intelligent running or parking of the electric automobile in a region in a range being 10m can be realized. The wireless power supply intelligent electric automobile design has the advantages that the structure is light and convenient, the operation is flexible, the non-contact electric energy transmission can be utilized under the condition that batteries are not used, the continuous running of the electric automobile is realized, the wireless power supply intelligent electric automobile design is widely applicable to the child group playing, safety and reliability are realized, the energy is saved, and the environment is protected.

The invention provides an intelligent driving method and a system for a TBM. The method comprises steps that: S1, an intelligent decision unit for TBM tunneling parameters predicts the parameters of the current surrounding rock state based on the parameters of the equipment operation; and senses the TBM tunneling environment and predicted tunneling parameters in real time; S2, an online monitoringsystem detects the parameters of the hob cutter stress, the vibration of the cutter head, and the equipment operation, and the slag sheet image in real time; and transmits the characteristic information to a fuzzy control logic library; S3, the fuzzy control logic library converts the feature information into adjustment values and adjustment step-sizes of the tunneling control parameters; and S4,the TBM intelligent driving system reaches a steady state, when the parameters of the hob cutter stress, the vibration of the cutter head, and the equipment operation, and the analysis results of theslag sheet image are all at a steady state. According to the intelligent driving method and the system for the TBM, the method and the system sends relevant characteristic information of real-time feedback by on-line monitoring, such as the hob cutter stress, the cutter head vibration, the slag sheet image analysis, and the main parameters of the equipment operation to the fuzzy control logic library, to give adjustment values and adjustment step-sizes of the control parameters; and realizes the intelligent driving through the closed loop feedback.

The present invention discloses an automobile traffic light zebra crossing safe and intelligent driving control system. The system comprises crossroad radar, in-vehicle radar, a GPS satellite transmitter, a vehicle controller, a screen display, a voice broadcast device, a braking system, a speed sensor, a distance sensor and a traffic light intelligent platform. The GPS satellite transmitter is configured to convert traffic light signals emitted by the traffic light intelligent platform. The automobile traffic light zebra crossing safe and intelligent driving control system and method can replace a person to foresee speed reduction, yielding to pedestrians or parking in advance at the zebra crossing traffic light crossroad so as to create more safety conditions for the pedestrians crossingthe road; the automobile traffic light zebra crossing safe and intelligent driving control system and method effectively reduce or avoid the generation of the zebra crossing traffic light crossroad traffic accidents, reduce the fatal quantity and save more people's lives; and moreover, the automobile traffic light zebra crossing safe and intelligent driving control system and method are clear andsimple in structure principle and convenient to assemble, can be used for new energy development industry, can perform industrialization and batch application, and are convenient to promote.

The present invention is an urban traffic system suitable for unmanned vehicles, and the system is divided into: a cloud server system (3), an unmanned vehicle system (4), and an information transmission system. The cloud server system mainly includes a processor, a database, etc., and the database includes urban road map information, urban traffic instantaneous situation information, driverless car information, etc.; driverless car system (4), mainly through sensors (7) and cameras ( 8) Detect the surrounding environment of the driverless car, and display it on the display screen in real time, and display people and animals as thermal images to ensure the normal driving of the driverless car; the information transmission system mainly includes the launch platform of the driverless car (1 ) and the cloud server transmitting and receiving platform (2), to realize the information transmission between the driverless car and the cloud server. The invention realizes intelligent driving, provides the best emerging route, and alleviates the problem of urban road congestion.

The invention discloses a wire-controlled electric power steering system of a commercial vehicle. The steering system comprises a control area network bus, an electronic control unit, a torque sensor,a vehicle speed sensor, a motor sensor, a current magnitude sensor and a current direction sensor; a signal output end of the control area network bus is in control connection with a signal receivingend of the electronic control unit, signal output ends of the torque sensor and the vehicle speed sensor are in feedback connection with a signal receiving end of the electronic control unit, a signal output end of the electronic control unit is in control connection with a signal input end of the motor sensor, a signal output end of the motor sensor is in control connection with signal receivingends of the current magnitude sensor and the current direction sensor separately, and signal output ends of the current magnitude sensor and the current direction sensor are in feedback connection with a signal receiving end of the electronic control unit; three steering modes of intelligent driving, electric power steering and driver manual steering can be achieved.

The invention discloses a pedestrian detection system based on human body electric waves. The system comprises a master control module arranged on a transportation facility and an ultralow frequency sensor and an information output module electrically connected with the master control module; and the ultralow frequency sensor can receive the biological waves of the human body heart beating. The invention further discloses a pedestrian detection method based on the human body electric waves. The system disclosed by the invention has the advantages of being simple in analysis and processing method, capable of improving the timeliness, the accuracy and the reliability of the pedestrian detection.

The invention relates to an intelligent driving system for an electric vehicle. The intelligent driving system comprises an intelligent driving unit, an alcohol detection unit and a processor; the alcohol detection unit is connected with the processor, and the processor is connected with the intelligent driving unit and used for receiving a user starting signal and controlling the alcohol detection unit according to the user starting signal; the alcohol detection unit is used for detecting the alcohol content in air and sending a feedback signal to the processor; and the processor starts the intelligent driving unit according to the feedback signal. According to the intelligent driving system of the electric vehicle, by arranging the alcohol detection unit, the alcohol content in the air is detected, when it is judged that a driver is in a drunk driving state, the intelligent driving system automatically controls and starts the intelligent driving unit without manual operation of the driver, so that the driver can still reach the destination in the state of unconsciousness after drinking, and intelligent driving is truly realized.

The invention relates to an intelligent driving education method based on a laser radar and an end-to-end control algorithm, and the method comprises the steps: S1, controlling a miniature intelligentvehicle to drive on a sand table runway through a control terminal, starting the laser radar to scan a sand table runway environment where the miniature intelligent vehicle is located, and obtainingthe operation instruction data of the control terminal and radar point cloud data; S2, according to the timestamps of the control terminal operation instruction data and the radar point cloud data, using MATLAB for data processing, obtaining mapping of keyboard instruction data and point cloud data corresponding to the timestamps, and the keyboard instruction data and the point cloud data servingas training data; S3, inputting the training data into a pre-constructed end-to-end control neural network model for training to obtain an end-to-end control model. According to the invention, an end-to-end control method is adopted to simplify deep learning knowledge, and intelligent driving on the sand table is realized through a simple laser radar and a miniature intelligent vehicle with high cost performance.

The invention discloses an intelligently-driven baby carriage which is composed of a beacon remote controller carried by a human body, a baby carriage body and a control assembly module. According tothe baby carriage, under the condition that a user does not directly contact the baby carriage body through limbs, a driving relationship is established, wherein the baby carriage keeps consistent with the position, angle and direction of a user all the time in the running process; in addition, a user sets the following modes of the beacon remote controller carried by the human body, the positionrelation between the baby carriage and an operator is achieved, so that the driving position between the baby carriage and the operator can be adjusted by setting different following modes, and therefore the two hands are liberated to adapt to different use scenes.

Provided is a novel electric car intelligent car body and intelligent chassis designing method. An intelligent chassis, an intelligent car body and a control system are included. Energy is transmitted between the car body and the chassis through a wireless charging technology. Control signals are transmitted through a wireless communication technology. The car body and the chassis are not electrically connected. The car body and the chassis are only connected through a fixing mechanical connecting point. A whole car air conditioning system is placed in the chassis and is communicated with the car body only through a circulating air way. Independent design of the car body and the chassis is completely achieved, and designing of an electric car is free and flexible.

The invention provides a barrier removing robot. According to the robot, STM32F103VET6 serves as the control core assisted by a TB6612FNG motor driving module, intelligent traveling of the device is realized, the robot is remotely and manually controlled through the radio frequency technology, and the travel distance or barrier removing route of the robot is operated. The robot is provided with an encoder device, the encoder device and a motor driving circuit form closed-loop control, and traveling of the robot can be effectively controlled. The robot is provided with a sound-light alarm module, and a sound-light alarm can be triggered when a fault appears. Besides, an overall power supply circuit is optimized in a centralized mode, a voltage stabilizing circuit is designed for the purpose of improving voltage stability in combination with electrical demands of all working modules, and therefore operating stability of the robot is guaranteed. In respect of software, C language programming is adopted, hardware design and software design are combined, and remote control, automatic correction, automatic barrier removal and other functions can be achieved. The whole system is ingenious in design, reasonable in algorithm and accurate in control, and the intelligent barrier removing function can be well achieved.

The invention discloses an unmanned vehicle intelligent driving system based on a park environment, and mainly solves the problems that the current park inspection manpower cost is too high, and part of inspection is dangerous. The system is composed of a sensor data processing module, a central control module, a motion control module, a visual processing module and a remote control module. The outputs of the sensor data processing module, the visual processing module and the remote control module are connected with the central control module; the sensor data processing module is used for acquiring inspection sensor data; the visual processing module detects traffic lights and S-bend roads appearing in the inspection process; the remote control module remotely issues a motion instruction; the central control module calculates the linear velocity and the angular velocity of the unmanned vehicle according to information transmitted by the three modules and sends the linear velocity and the angular velocity to the motion control module; and the motion control module converts the signal into a bottom layer motor control signal to drive the unmanned vehicle to run. According to the invention, manpower cost and danger are reduced, autonomous obstacle avoidance driving can be realized according to traffic rules, and the system can be used for unmanned vehicles in park environments.

Provided is a novel electric car intelligent car body and intelligent chassis designing method. An intelligent chassis, an intelligent car body and a control system are included. Energy is transmitted between the car body and the chassis through a wireless charging technology. Control signals are transmitted through a wireless communication technology. The car body and the chassis are not electrically connected. The car body and the chassis are only connected through a fixing mechanical connecting point. A whole car air conditioning system is placed in the chassis and is communicated with the car body only through a circulating air way. Independent design of the car body and the chassis is completely achieved, and designing of an electric car is free and flexible.

The invention discloses a driving environment safety evaluation method, and the method comprises the steps: dividing a target object in a current driving environment into target object sets, and determining spatial vectors corresponding to the target object sets which do not comprise to-be-evaluated target objects, and spatial vectors of the target object set including the target objects to be evaluated corresponding to various potential driving tasks, and based on spatial vectors, corresponding to various potential driving tasks, of a target set including to-be-evaluated targets and spatial vectors, not including the to-be-evaluated targets, of the target set, determining safety coefficients corresponding to various potential driving tasks, thereby determining a safe driving task suitable for the to-be-evaluated target object. According to the method, the driving environment safety of the to-be-assessed target object can be comprehensively assessed according to each target object in the current driving environment, and the safety corresponding to various potential driving tasks is predicted, so that intelligent driving is realized, the driving risk is avoided, and a basic guarantee is provided for quickly responding to the risk.

The invention relates to an express delivery connection intelligent trolley for unmanned aerial vehicle distribution. The express delivery connection intelligent trolley comprises a chassis; a central processor; the power supply module supplies power to each mechanism on the trolley; a wheel set mechanism; the vehicle heads are fixed to the two ends of the chassis in a back-to-back mode. The distribution cabinet is arranged between the two vehicle heads, fixed on the chassis and comprises a plurality of storage box bodies, side doors are hinged to the side faces, corresponding to the trolleys, of the storage box bodies, and locking mechanisms are arranged on the side doors of the box bodies; a sliding gate mechanism is arranged at the opening of the top of the box body and comprises a sliding gate, a second rotating shaft and a driving motor, a sliding groove parallel to the opening is formed in the side, corresponding to the vehicle head, of the top of the box body, the sliding gate is in sliding connection with the sliding groove, and the side, corresponding to the vehicle head, of the sliding gate is connected with the second rotating shaft which is driven by the driving motor. By the adoption of the technical scheme, the unmanned aerial vehicle can be in butt joint with a cargo carrying unmanned aerial vehicle, and express packages of the unmanned aerial vehicle can be collected.

The invention relates to the technical field of intelligent traffic, and discloses a traffic road energy-saving intelligent test device based on big data, which comprises an intelligent test platform, and a road surface information acquisition device, a traffic flow acquisition device and a road safety guarantee device which are arranged above the intelligent test platform. According to the traffic road energy-saving intelligent test device based on big data, a road test section is divided into three big data test unit road sections according to test working conditions, and corresponding road surface information acquisition devices, traffic flow acquisition devices and road safety guarantee devices are laid on the big data test unit road sections according to different test working conditions; the road test is divided into three test unit road sections which are respectively corresponding to the road surface information acquisition device, the traffic flow acquisition device and the road safety guarantee device, so that the consistency of a big data test environment can be met, and the test result is more visual and more reliable through comparison.

The invention discloses a method and device for intelligent driving of automobiles. The method includes: establishing a knowledge base in advance; wherein the knowledge base includes a set of automobile control sentences x={x1, x2, x3, ..., xn}, and The mapping relationship between the vehicle control sentence set and the vehicle control module; obtain the first word segmentation sequence set x1={x11, x12, x13, ..., x1m}, ... for each sequence in the vehicle control sentence set , xn={xn1, xn2, xn3,...,xnk}; obtain the second word-cutting sequence y1={y11, y12, y13,...,y1n} of the first input system; compare the first word-cutting sequence set Any sequence and the second word segmentation sequence; if the comparison result is less than the preset threshold value, then according to the matching vehicle control sentence, the corresponding vehicle control module is obtained to control the driving of the vehicle.

The invention proposes an adaptive control method for an intelligent vehicle system, which uses a mobile phone as an identification to automatically adjust individual settings in the vehicle to achieve a comfortable environment satisfied by the vehicle owner and realize real intelligent driving. It includes the following steps: Step 1: Connect the mobile phone and ICC through NFC Bluetooth through PWC; Step 2: Obtain the MAC address of the mobile phone as identification; Step 3: Determine whether the MAC address of the mobile phone already exists; if so, skip to step 6 directly, if Otherwise, go to step 4 for setting; step 4: ICC pops up the in-car personalized setting interface; step 5: the user sets the in-car environment through the setting interface and chooses whether to save the setting value; if you choose yes, go directly to step 6, if you choose Otherwise, set the current in-car personalized setting value as the default value; Step 6: update the in-car environment in the car to the set value.

The invention provides a self-inflating constant-pressure tire burst prevention system, and belongs to the technical field of machinery. The tire burst prevention system solves the problem that an existing tire burst prevention system cannot avoid tire burst accidents due to the fact that the reserve amount of gas is limited. The self-inflating constant-pressure tire burst prevention system comprises a vehicle centralized controller, an execution mechanism, a detection assembly and inflation assemblies fixed to all tires of a vehicle. The detection assembly is electrically connected with the vehicle centralized controller; the inflation assembly comprises a cylinder body and a piston connected into the cylinder body in a sliding mode. An inner cavity of the cylinder body is divided into acompression cavity and an air inlet cavity communicated with the outside by the piston; the cylinder body is fixed on a hub of a corresponding tire, the compression cavity is communicated with the corresponding tire through an inflation one-way valve, the piston is further provided with an air inlet one-way valve which is communicated with the air inlet cavity and the compression cavity in a one-way mode, and the actuating mechanism is electrically connected with the vehicle centralized controller and can control the piston to slide back and forth. According to the system, early warning and control are combined with elimination of dangerous case relevance protocols, tire burst accidents are avoided, and the life safety of passengers is guaranteed.

The present invention provides a power chassis domain control architecture and an automobile, which relate to the technical field of vehicle structure. The power chassis domain control architecture includes: a power chassis domain controller, configured to generate control instructions according to received request instructions; at least one power chassis domain controller The domain execution device and at least one chassis domain execution device are respectively connected to the power chassis domain controller through a variable-rate controller area network bus, and are used to execute corresponding commands according to the received control instructions sent by the power chassis domain controller. operation to adjust the state of the car. The scheme of the present invention improves the execution speed of the vehicle control command and the security of the vehicle information by integrating, standardizing and platformizing the vehicle longitudinal and lateral control functions, and reduces the vehicle cost.

The invention discloses an intelligent excavator control system and method based on a limited sensor. Comprising a visual sensor, a first displacement sensor, a second displacement sensor, a third displacement sensor, a safety valve, a hydraulic oil tank, a proportional variable pump, an engine, a one-way valve, a first three-position four-way hydraulic valve, a second three-position four-way hydraulic valve, a third three-position four-way hydraulic valve, a fourth three-position four-way hydraulic valve, a fifth three-position four-way hydraulic valve, a sixth three-position four-way hydraulic valve and a rotary hydraulic motor. The device comprises a bucket rod oil cylinder, a movable arm oil cylinder, a bucket oil cylinder, a left walking hydraulic motor, a right walking hydraulic motor and a whole machine controller. The visual sensor, the displacement sensors, the safety valve, the hydraulic oil tank, the proportional variable pump, the engine, the one-way valve and the three-position four-way hydraulic valves are all connected with the whole machine controller. According to the intelligent control system and the control method thereof, the problem of automatic driving of the hydraulic excavator is solved, intelligent driving and unmanned operation of the excavator are achieved, the intelligent degree is high, and the system and the method are suitable for various working conditions.

The invention proposes a TBM intelligent driving method and system. The steps of the method are: the TBM tunneling parameter intelligent decision-making unit predicts the current surrounding rock state parameters according to the equipment operating parameters, real-time perception of the TBM tunneling environment, and the predicted tunneling parameters; online monitoring system Real-time detection of hob force, cutterhead vibration, equipment operation parameters and slag image, and transfer feature information to fuzzy control logic library; fuzzy control logic library converts feature information into adjustment value and adjustment step of tunneling control parameters ; When the tunneling control parameters, hob force, cutterhead vibration, equipment operation parameters and slag image analysis results are all in a steady state, the TBM intelligent driving system reaches a steady state. The present invention feeds back real-time relevant feature information to the fuzzy control logic library through online monitoring of hob force, cutterhead vibration, slag image analysis, and equipment operation main parameters, and gives the adjustment value and adjustment step of the control parameters. Through closed-loop feedback Realize intelligent driving.

An embodiment of the present application provides a vehicle control method and a vehicle, the method comprising: obtaining the current vehicle speed of the vehicle and the bump parameter of the road surface where the vehicle is located, the bump parameter is used to characterize the bump degree of the road surface; based on the current vehicle speed and the bump parameter The corresponding relationship with the driving mode of the vehicle determines the currently adapted driving mode of the vehicle; determines the response parameters of the vehicle in the driving mode, and controls the vehicle to respond to the driving signal according to the response parameters; among them, in different driving modes, the vehicle's At least one of the steering torque of the steering wheel, the power output of the engine, and the damping of the seat is different. The method provided in the embodiment of the present application automatically and adaptively switches the driving mode of the vehicle according to the road condition and the vehicle condition, without frequent manual switching of the driving mode, and improves the intelligence of vehicle driving.