24 results about "Vehicle driving" patented technology

The existing information center produces less effects of promoting driver driving habit improvement to realize vehicle oil consumption reduction. Aiming at solving the above problem, the invention provides a vehicle economical-driving evaluation server. The vehicle economical-driving evaluation server comprises an information acquisition unit, an information memory unit, a coupling unit, an economical-driving evaluation unit and a publishing unit. Vehicle economical-driving evaluation given by the vehicle economical-driving evaluation server comprehensively according to driving environment factors has high credibility and a high reference value and can truly show economical-driving conditions of a monitored vehicle reporting driving data at present, and according to the vehicle economical-driving evaluation, the driver can industriously find and improve undesirable driving habit and thus the vehicle economical-driving evaluation server has obvious effects of promoting driver driving habit improvement to realize vehicle oil consumption reduction. The invention also provides a vehicle driving management method.

A roll typed impact extrusion processing method and a device of automobile drive axle housing adopts roll typed impact extrusion technique to manufacture a lute-shaped housing expanded from the middle of the driving axle housing, namely, axial compressive force is loaded to the both ends of the axle housing roughcast or the semi-finished product; in the forming die, dedicated roll pressured rolling of the driving gear is adopted to implement repeated rolling and progressive roll typed impact extrusion operation to the inner wall of the workpiece, and processes the workpiece into the needed axle housing shape. As a lute-shaped hole of the middle of the axle housing is molded by reaming and roll typed impact extrusion technology, the volume of the metal material is progressively transferred a plurality of times, and the thickness of the deformation part of the material basically remains the same, so that the metallurgical structure of the steels of the area is compact, furthermore, surface hardening greatly strengthens all the mechanical performance of the corresponding parts of the axle housing body, and improves the integral mechanical strength and rigidity of the axle housing. The method has the advantages of simple technique, convenient operation, little investment of the dedicated device and die, reliable work, and simple and easy product model conversion, which is suitable for batch produce with a plurality of varieties.

The invention discloses a bidirectional LSTM network-based vehicle behavior identification method and system; the method comprises the following steps: invoking offline acquired traffic video data; detecting and tracking vehicles in the traffic video data, and extracting vehicle driving tracks; extracting features from preprocessed vehicle driving tracks, and building a training data set and a test data set; using a bidirectional LSTM recurrent neural network to make model training for the training data set, and forming a vehicle behavior identification model; inputting the test data set intothe vehicle behavior identification model to make precision assignment; inputting the traffic video data acquired online in real time in the vehicle behavior identification model with the precision assignment, identifying vehicle behaviors, and outputting an identification result. The method uses the vehicle behavior identification model based on the bidirectional LSTM network to identify the vehicle driving tracks in the traffic video data, thus determining the vehicle driving behaviors with a high identification precision.

The invention discloses an ad hoc network induction lamp for highway low visibility rainy and foggy weather safety induction. The ad hoc network induction lamp comprises an induction lamp shell, wherein a low power mainboard is fixed in the induction lamp shell; an intelligent ad hoc network zigbee communication module is connected with the low power mainboard through utilization of a rapid pull plug; a round red and yellow high brightness lamp panel is connected with the low power mainboard through utilization of a Dubond thread and is fixed on the induction lamp shell through utilization ofa transparent outer cover; a rain and fog high penetrability vehicle detection radar is mounted on a side face of the induction lamp shell and is connected with the rapid pull plug of the low power mainboard through utilization of the Dubond thread; a high precision time service GPS module is directly welded on the low power mainboard; a software self-management power module is fixed at a bottom of the induction lamp shell and is connected with the low power mainboard through utilization of a power wire; and a high performance monocrystalline silicon solar panel is mounted at a top of the induction lamp shell. The ad hoc network induction lamp is applicable to intelligent induction of driving under highway low visibility rainy and foggy weather condition, vehicle driving safety is ensured,and the ad hoc network induction lamp is important manifestation for establishment of an intelligent transportation system.

The invention discloses a vehicle overload alarm method. A vehicle comprises a vehicle frame (1) and a steel plate spring (2). The vehicle overload alarm method comprises of detecting a height difference between the vehicle frame (1) and a center point of the steel plate spring (2), making a comparison between the height difference and a height difference threshold value, and giving an overload alarm when the height difference between the vehicle frame (1) and the steel plate spring (2) is smaller than the height difference threshold value. The invention further discloses a vehicle overload alarm system and the vehicle. With the above technical scheme, the vehicle overload alarm system is provided; whether the vehicle is overloaded can be determined by the alarm method according to the height difference between the vehicle frame and the steel plate spring; and the overload alarm method is simple, can detect vehicle overload conditions in real time and can give on-time alarm upon overload to prevent accidents, so vehicle driving safety can be improved.

The invention provides a curve prompting method and a curve prompting device. The curve prompting method comprises the steps that whether a vehicle drives toward a curve from a first direction is detected; when the vehicle drives from the first direction, a prompt is sent according to a preset way to another vehicle driving toward the preset section of the curve from a second direction; the first direction and the second direction are opposite directions. By adopting the technical scheme provided by the invention, the drivers of the vehicles are timely notified of the conditions of the vehicles driving from the opposite direction, and therefore the coefficient of the safe driving of the drivers is improved.

The invention discloses a driveway information indicating system. The driveway information indicating system comprises canalization driveways and a metal detector, wherein the canalization driveways are divided in a crossing, metal pieces are embedded under the pavement of each canalization driveway, and the metal pieces are arranged according to a specified coding rule and are used for identifying different canalization driveways; and the metal detector is arranged at the bottom part of a vehicle and is used for detecting the metal pieces and the arranging mode of the metal pieces. The vehicle is also provided with a driveway screening module and a signal output module, wherein the driveway screening module is used for obtaining the driveway where the vehicle is located at present by comparing the metal piece embedding situation detected by the metal detector with a preset coding rule in real time, and the signal output module is used for indicating the situation of the driveway where the vehicle is located in a way such as sound and light to a vehicle driver. The driveway information indicating system disclosed by the invention can be combined with a crossing traffic light system, and the vehicle driver can be better indicated; and the driveway information indicating system also can be used as a traffic management tool for recording and managing illegal acts of driving not according with signs and marked liens.

The invention relates to the technical field of torsion beam machining, in particular to a closed type torsion beam inner cavity corrosion prevention and lubrication process which comprises the following specific steps that a process hole is formed in one end of a closed type torsion beam, and welding of a welding seam 1 and a welding seam 2 at the two ends is completed; sealing performance inspection is conducted on an inner cavity of the closed torsion beam so as to prevent oil liquid from seeping outwards in the anti-corrosion and lubricating steps; and for the closed type torsion beam which is checked and confirmed to be intact in sealing performance, anti-rust oil is injected into an inner cavity of the closed type torsion beam from the auxiliary hole for corrosion prevention and lubrication treatment, the closed type torsion beam is turned over, after oil injection is completed, plug welding sealing is conducted on the auxiliary hole, and an electrophoresis procedure is conducted. Before the closed torsion beam is welded and enters an electrophoresis procedure, the inner cavity of the closed torsion beam is subjected to sealing performance inspection and anti-corrosion lubricating treatment, so that a very good inhibition effect is achieved on friction abnormal sounds possibly occurring on the closed torsion beam, and the influence on vehicle driving safety is reduced.

The invention discloses a vehicle driving mode control method and system and a vehicle, a power system PCU controller is used as a core algorithm carrier, and the voltage of a first driving mode switch, the voltage of a second driving mode switch and an HU driving mode target are input; the power system PCU controller is used for BSW-level digital or analog signal processing, ASW-level signal processing, first driving mode switch and second driving mode switch fault judgment, fault processing, input signal anti-shake processing, mode switch request validity judgment, mode switch request state judgment, driving mode state judgment and driving mode output de-shake processing. According to the method, the fault state of the driving mode switch can be judged and processed, the situation that the whole function cannot be normally used due to the fact that a certain switch breaks down is avoided, the algorithm is rigorous, and the reliability of driving mode selection is improved.

The invention discloses a vehicle driving mode switching method based on vehicle cloud communication, and the method comprises the steps: judging whether a vehicle in a current driving mode receives a driving mode switching instruction or not, with the driving modes including a manual driving mode, a constant-speed cruise mode and a predictive cruise control mode, wjereom the predictive cruise control mode comprises a first predictive cruise control sub-mode, a second predictive cruise control sub-mode and a third predictive cruise control sub-mode; when a driving mode switching instruction is received, controlling the vehicle to run according to a target driving mode corresponding to the driving mode switching instruction, wherein the target driving mode is a mode for dynamically adjusting the vehicle speed according to a received vehicle speed changing instruction. The various driving modes are switched according to the received driving mode switching instruction, and the driving speed is changed, so that the vehicle is more suitable for complex road conditions during driving, the energy consumption of the vehicle is optimized, and the intelligent degree is high.

The embodiment of the invention discloses an obstacle judgment method, device and equipment and a storage medium, belongs to the technical field of vehicle driving, and can be applied to closed parks such as ports and logistics, or urban traffic or high-speed scenes and the like. The method comprises the steps that detection results of a laser radar and other target sensors on a driving space are fused in a deep learning mode so as to confirm an obstacle, in the implementation process, for laser point cloud obtained by the laser radar, whether the laser point cloud is a noisy point or not is judged from the point cloud level, and the detection accuracy of the laser point cloud is improved. The morphological characteristics of the driving space are determined from the global level, whether the point locations conform to the time sequence characteristics of the obstacles or not is judged, whether the sensing characteristics of the obstacles exist in the driving space or not is determined through a target sensor, and the driving space is determined by judging the dynamic characteristics of the driving space and at least one sensing characteristic. Whether there is an obstacle in the driving space is determined, and the accuracy of determining whether there is an obstacle in the driving space is improved.

The invention provides a vehicle driving method and device, a vehicle, and a motor vehicle. The method comprises the steps: firstly obtaining the information of the static motor vehicle on a road where a vehicle is about to pass according to a license number of the motor vehicle; secondly obtaining a vehicle body side, by which the vehicle is about to pass, of the motor vehicle, such as a left vehicle body side or a right vehicle body side of the motor vehicle; thirdly sending a control instruction to the motor vehicle according to the information of the motor vehicle and the vehicle body side, so as to lock a door of a corresponding vehicle body side in a preset time and to enable the vehicle to pass by the motor vehicle safely. According to the invention, the method can effectively prevent the motor vehicle from colliding with the vehicle after the door of the motor vehicle is suddenly opened, and reduces the accidents.

The invention provides a lane keeping control method, a storage medium and electronic equipment. The method comprises the following steps: acquiring front vehicle information of a front vehicle and current vehicle information of a current vehicle; calculating a front vehicle driving course of the front vehicle according to the front vehicle information and the current vehicle information; calculating a course angle deviation and a lane line curvature of a first lane line curve function according to the driving course of the front vehicle, and calculating a lane line gap of the first lane line curve function according to the course angle deviation, the lane line curvature and the position of the front vehicle; and controlling the current vehicle according to the course angle deviation, the lane line curvature and the lane line gap. By implementing the method, the lane line difference, the lane line course and the lane line curvature can be accurately obtained, the vehicle can be controlled to run in the lane in the scenes of traffic jam, lane line shielding or unclear lane lines, and the safety is improved.

The invention discloses a gear type self-adapting transmission. The gear type self-adapting transmission comprises a first planetary gear mechanism, two or more groups of second planetary gear mechanisms, a third planetary gear mechanism, a fourth planetary gear mechanism, two groups of planetary gear regulating mechanisms, a central shaft, a controlled end and a control end, wherein the second planetary gear mechanisms are parallel to the central axis, the first planetary gear mechanism, third planetary gear mechanism and fourth planetary gear mechanism are arranged along the same axial line, and the central axes are the same. The gear type self-adapting transmission is capable of automatically regulating the speed and torque to enable the transmission to always locate at the best matching state according to the engine power and vehicle driving resistance change without cutting off driving force, and the stepless speed change can be realized in the presence/absence of program control and external effect; the gear type self-adapting transmission is suitable for different vehicles, the driving efficiency is higher, the fuel economy is better, and the speed increase is faster; the gear type self-adapting transmission can also be used for the other mechanical devices which need speed change.

Disclosed is an energy-saving road, which relates to the traffic field. The road is built into a wavy shape, during the road building, the upslope is built to be short, and the downslope is built to be longer, the retractility of the road during the weather changing process is good, the burden point of the vehicle during the slope running is toward the downward direction, the road is slant, not the whole weight of the vehicle is burdened, partial weight is changed into the vehicle driving power, the long distance of the downslope causes the vehicle to produce greater driving power for moving to the upslope, less power generated by the vehicle is used to climb the upslope, and the vehicle enters another downslope, and the effect produced by the downslope and upslope moving can cause the vehicle to save more fuel. The energy-saving road can be used in highways and railways, the applying of the method can be performed according to practical situations, and the invention has the advantages that when a vehicle runs on the road, the attrition rate of the vehicle power system is reduced, the damage rate of the road is reduced, and the energy conservation effect of the vehicle can be achieved.

The invention relates to a shuttle vehicle automatic goods searching and positioning method and system based on deep learning, and the method comprises the steps: 1, collecting the images of various types of trays, marking the coordinates of the trays in the images, and making a tray training sample set; 2, inputting the tray training sample set into a built combined convolutional neural network model including a classification network and a target detection network, setting hyper-parameters, and then performing training; 3, saving the weights of the trained classification network model and the target detection network model; and 4, utilizing the classification network model and the target detection network model to classify and identify the images collected by the shuttle vehicle and control the rotating speed of a shuttle vehicle driving motor to accurately park and search goods. Automatic goods searching and positioning of the shuttle vehicle are realized by means of an image recognition target detection technology, the robustness of a shuttle vehicle positioning system is improved, the workload of field debugging personnel is reduced, and accurate positioning of the shuttle vehicle is ensured.

Systems for aiding a vehicle driver are disclosed. A system may comprise an imager having a field of view forward relative a vehicle and operable to capture a first image. The system may further comprise a controller communicatively connected to the imager. The controller may be operable to detect a road sign in the first image, to interpret the road sign, and to provide an graphic representation of the road sign and/or provide an auditory response based, at least in part on the road sign. The graphic representation may be displayed by a rear-view assembly. The auditory response may be emitted by a speaker. In some embodiments, a location may be associated with one or more road sign interpretation and both the location and interpretation may be transmitted to a remote server.

The invention discloses a multi-objective evaluation method of calming designs of an open campus. The method comprises the following steps: 1) collecting traffic data of a campus inside and outside based on the to-be-opened campus, wherein the traffic data include vehicle driving speed and queuing-up time; 2) carrying out simulation experiment, wherein traffic simulation software VISSIM is utilized to simulate traffic conditions before and after campus opening on the basis of the traffic data of the campus inside and outside of the research object; 3) evaluating passage efficiency, social environmental benefits and economic benefits according to simulation experiment: and 4) traversing all calming schemes to evaluate feasibility of the design schemes, and selecting a scheme with highest utility from feasible schemes. According to the method of the invention, "the passage efficiency, the environmental benefits and the economic benefits" are comprehensively considered, multi-objective evaluation is carried out, evaluation on the design schemes has comprehensiveness and effectiveness, and an evaluation result has authoritativeness.

The invention discloses a vehicle-mounted Android platform instrument panel control system and method. The vehicle-mounted Android platform instrument panel control system comprises an instrument panel body, an installation box, a PLC, a data collection module, a rotating speed module, a mileage module, an oil consumption module, a battery capacity module, a tire pressure module, a torque module,a control unit, a mode selection module, a climbing mode module, a snowfield mode module, a muddy field mode module, a sand field mode module, an inclination angle module, a state indication module, and the like. According to the invention, an instrument panel is carried on an Android platform, so that the vehicle instrument panel is more intelligent. Through cooperative use of all the systems inthe system, vehicle state information can be comprehensively and visually displayed, the instrument panel can be switched between different display modes according to the driving environment of the vehicle, the driving experience of the driver is improved, the driver can better know the driving state of the vehicle in time, and the driving of workers in multiple states is facilitated.