Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
31results about How to "Improve autonomous driving performance" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Train operation control method under special external environments
InactiveCN108674447AGuaranteed uptimeComfortable runningAutomatic systemsSignalling indicators on vehicleFrostSimulation
The invention provides a train operation control method under special external environments. The method comprises the steps that learning is performed according to historical operation data of a trainunder various external environments, and a train operation environment solution space database under various external environments is generated; in the operation process of the train, an ATO system acquires current train operation data through various sensors, the train operation environment solution space database is inquired according to the current train operation data, the special external environment where the train is currently located is determined, train operation data recommended to be used under the current external environment are obtained, and a train operation controller operatesby tracking the recommended speed curve in the train operation data recommended to be used. The method can enable the train to recognize the levels of special external environments online and to learn control online based on historical data and real-time train conditions in rain, snow, frost and other special external environment conditions so that the train can operate more safely and efficiently in special external environments.
Owner:BEIJING JIAOTONG UNIV
Motorcade driving method based on roadside equipment
PendingCN111260911AImprove autonomous driving performanceLow failure ratePlatooningTransport engineeringReal-time computing
The invention relates to a motorcade driving method based on roadside equipment. The method comprises steps of enabling the roadside equipment to be disposed at a roadside, enabling at least one following vehicle to follow one pilot vehicle, forming a motorcade, enabling the following vehicle to be a low-grade automatic driving vehicle, and enabling the pilot vehicle to be a high-grade automatic driving vehicle; enabling the pilot vehicle receive the high-precision map information sent by roadside devices and carry out planning driving, enabling each vehicle in the motorcade establish communication with at least two roadside devices and periodically obtain position coordinates of the vehicle based on a signal propagation power loss model, and forming a driving track of the vehicle; enabling each vehicle share the driving track with an adjacent following vehicle behind through wireless communication, and enabling each following vehicle drive along the driving track of a previous vehicle. Compared with the prior art, the method has advantages of high safety, high sensitivity, high error-tolerant rate and the like.
Owner:TONGJI UNIV
Longitudinal/lateral/vertical personified cooperative control method for off-road electric drive unmanned vehicle
ActiveCN107132840ASolving Motion Control ProblemsImprove autonomous driving performanceCharacter and pattern recognitionPosition/course control in two dimensionsTime lagDriver/operator
The invention discloses a longitudinal / lateral / vertical personified cooperative control method for an off-road electric drive unmanned vehicle, and relates to the vehicle control. The method comprises the steps: taking a driver as a research object, and analyzing the steering / acceleration and deceleration operation behavior features of a driver under the off-road condition; constructing a personified control system based on multi-performance target optimization according to the parameter uncertainty, nonlinear coupling and time lag of an unmanned vehicle in a non-structure road environment; building a longitudinal / lateral / vertical coupling dynamic personified control system for the off-road electric drive unmanned vehicle, and achieving the dynamic coupling control of the off-road electric drive unmanned vehicle through the transmission, conversion and evolution of the energy and information of dynamic coordination of the coupling dynamic control system, thereby effectively improving the autonomous running comprehensive energy of the electric drive unmanned vehicle, and remarkably improving the performances of the control system.
Owner:XIAMEN UNIV
Kinematics estimation and deviation calibration method for crawler tractor
InactiveCN110262479AAccurate estimateImprove adaptabilityAttitude controlComplex mathematical operationsKinematicsNonlinear model
The invention discloses a kinematics estimation and deviation calibration method for a crawler tractor, which belongs to the technical field of agricultural machinery automatic driving. The method provided by the scheme comprises the steps that a kinematic model of the crawler tractor is constructed; in actual situation, due to the factors such as ground fluctuation variation and GNSS dual antenna installation deviation, heading angle deviation and worse path tracking effect are caused; to simplify the model, the heading angle deviation can be approximated as a certain value; an eastward displacement coordinate component, a northward displacement coordinate component, the tractor speed, a northward displacement coordinate component, the tractor speed and the tractor heading angle are used as system observations; and the constructed crawler tractor kalman filter model is a nonlinear model. According to the invention, the heading angle deviation caused by the ground fluctuation variation, the GNSS antenna installation deviation and the like can quickly and accurately estimated; the heading angle is compensated; and the adaptability of the system to the ground is improved.
Owner:NANJING TIANCHENLIDA ELECTRONICS TECH CO LTD
Automatic driving decision-making method and system based on switch-type deep learning network model
ActiveCN112026782AImprove autonomous driving performanceRealize autonomous drivingControl devicesSteering wheelEngineering
The invention discloses an automatic driving decision-making method based on a switch-type deep learning network model. The method comprises the following steps: collecting driving environment data invehicle driving under each navigation instruction through a plurality of cameras; and S11, importing the acquired driving environment data and a real-time navigation instruction into a pre-trained and optimized automatic driving decision-making module which adopts a switch type deep learning network model, wherein the switch-type deep learning network model comprises a multi-stage convolutional neural network (CNN) layer, a feature selection layer, a long-term and short-term memory (LSTM) neural network layer and an output layer; and S12, outputting a steering wheel angle and an expected driving speed of the vehicle by the automatic driving decision module according to the input driving environment data and the type of the real-time navigation instruction so as to control the vehicle to realize automatic driving. The invention further discloses a corresponding system. Different feature switches can be selected and activated according to different driving instructions, and automatic driving under complex road conditions can be achieved.
Owner:GUANGZHOU AUTOMOBILE GROUP CO LTD
Obstacle position identification method and device, computer equipment and storage medium
ActiveCN111488812AHigh precisionImprove autonomous driving performanceScene recognitionBody areaEngineering
The invention relates to an obstacle position identification method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring depth information, plane area information and main body area information corresponding to an obstacle; when the depth information, the plane area information and the main body area information are similar and consistent in matching, determining a target obstacle; acquiring preset position information corresponding to the target obstacle, and calculating distance error information between the depth information, the plane area information and the main body area information and the preset position information; calculating conditional probability distribution of the sensor observation information under the preset position information according to the distance error information; and estimating the conditional probability distribution to obtain target position information corresponding to the target obstacle. The accuracyof estimating the position of part of obstacles entering the view of the camera can be improved, so that the automatic driving performance is improved.
Owner:TENCENT TECH (SHENZHEN) CO LTD +1
Logistics vehicle and trailer pose determination, pre-collision detection and automatic driving method thereof
PendingCN114661039AAccurately determine the poseDetermine posePosition/course control in two dimensionsVehiclesLogistics managementControl theory
The invention provides a logistics vehicle and a trailer pose determination, pre-collision detection and automatic driving method thereof, and belongs to the technical field of automatic driving of logistics vehicles. The trailer pose determination method comprises the steps that the actual pose, the actual front wheel turning angle and the actual speed of a trailer are obtained through a sensor; inputting the actual front wheel turning angle and the actual speed of the trailer into the logistics vehicle kinematic model to obtain a trailer pose estimation value and a trailer angle estimation value based on the logistics vehicle kinematic model; comparing the actual pose of the trailer with the estimated value of the pose of the trailer, multiplying the deviation between the actual pose and the estimated value of the pose of the trailer by a coefficient K to obtain a pose error, and correcting the estimated value of the angle of the trailer by using the pose error to obtain an accurate angle of the trailer; and combining the actual pose of the trailer, the accurate trailer angle and the geometric parameters of the trailer and each trailer to obtain the pose of each trailer. The method can accurately determine the pose of the trailer in the logistics vehicle.
Owner:ZHENGZHOU YUTONG BUS CO LTD
System and method for sensing road surface condition
ActiveUS20180304897A1Improve autonomous driving performanceImprove Sensing PerformanceAnalysing solids using sonic/ultrasonic/infrasonic wavesMaterial analysis using acoustic emission techniquesFeature vectorRoad surface
Disclosed are a road surface condition sensing system and method. The road surface condition sensing system includes an acoustic sensing unit for sensing an acoustic signal of a floor of a vehicle, and a control unit for calculating a feature vector by Fourier transforming the sensed acoustic signal, comparing the calculated feature vector with a plurality of previously stored feature vectors and returning a first feature vector having the smallest relative distance to the calculated feature vector, and outputting a road surface condition corresponding to the first feature vector.
Owner:HL KLEMOVE CORP
A vehicle cloud service system and an interaction method thereof
ActiveCN109743382AImprove interactivityEmbody uniquenessCharacter and pattern recognitionTransmissionComputer terminalHuman–robot interaction
The invention discloses a cloud server, a vehicle-mounted terminal and a vehicle, and the cloud server comprises: a user feature receiving module which is used for receiving at least one user featuresent by the vehicle-mounted terminal; The prompt information generation module which is used for generating prompt information through a user model according to at least one user feature; The prompt information sending module which is used for sending the prompt information to the vehicle-mounted terminal, so that the vehicle-mounted terminal interacts with a user according to the prompt information to generate interaction content; The interactive content receiving module whch is used for receiving the interactive content sent by the vehicle-mounted terminal; And the correction module which isused for correcting the user model according to the interaction content. The cloud server can correct the user model according to the interaction content through interaction with the vehicle-mountedterminal, so that the thinking of a developing person can be presented, the human-computer interaction capability is enhanced, the uniqueness of a driver is embodied, more memory computing services can be provided for the driver and passengers, and the auxiliary driving and automatic driving capabilities are enhanced.
Owner:BEIQI FOTON MOTOR CO LTD
Light beam separation module, laser radar system and control method thereof
InactiveCN110007314AImprove detection abilityReduce in quantityElectromagnetic wave reradiationOptoelectronicsRadar systems
The invention relates to a light beam separation module, a laser radar system and a control method thereof. The light beam separation module comprises a first light splitting assembly, an optical rotation assembly and a second light splitting assembly. The first light splitting assembly is used for separating the incident light beam into first P polarized light and first S polarized light; the optical rotation assembly is used for rotating the first P polarized light into second S polarized light and rotating the first S polarized light into second P polarized light; the second light splittingassembly is used for mixing the second P polarized light and the second S polarized light into a first emergent light beam emitted to a target object; the second light splitting assembly is also usedfor separating the echo light beam into third P polarized light and third S polarized light; the optical rotation assembly is also used for maintaining the polarization directions of the third P polarized light and the third S polarized light; and the first light splitting assembly is also used for mixing the third P polarized light and the third S polarized light into a second emergent light beam which is emitted to a laser detection module. According to the embodiment of the invention, the laser detection module can receive the P polarized light, and the energy received by the laser detection module is increased.
Owner:SUTENG INNOVATION TECH CO LTD
Data processing method and device, equipment and storage medium
ActiveCN114655207ACollaborative processing for enhanced intelligent drivingImprove co-processingCharacter and pattern recognitionExternal condition input parametersSensing dataEngineering
The invention discloses a data processing method and device, equipment and a storage medium. The method comprises the steps that first position information and first sensing data of a target vehicle and second position information and second sensing data of a current vehicle are acquired; based on the first position information and the second position information, determining relative position information between the target vehicle and the preceding vehicle and a sensing data detection blind area corresponding to the current vehicle; determining blind area standby sensing data corresponding to the sensing data detection blind area from the first sensing data based on the sensing data detection blind area; according to the relative position information, the second sensing data and the sensing data detection blind area, performing segmentation processing on the blind area standby sensing data to obtain target blind area sensing data corresponding to the sensing data detection blind area; updating blind area sensing data in the second sensing data based on the target blind area sensing data to obtain target sensing data of the current vehicle; according to the invention, the ability of bicycle automatic driving in automatic driving can be improved.
Owner:CHINA AUTOMOTIVE INNOVATION CORP
Automatic driving method based on conditional imitation learning and reinforcement learning
InactiveCN114170488AReduce dependenceSolving the Inefficiency of Reinforcement Learning ExplorationScene recognitionNeural architecturesData setAlgorithm
The invention provides an automatic driving method based on conditional imitation learning and reinforcement learning, and the method comprises the steps: S1, collecting driving data, and marking a corresponding decision action as an expert decision; s2, according to the driving data, calculating to obtain a course angle, and obtaining a feature vector and a feature map; s3, constructing a training data set based on the feature vector, the feature map, the course angle and the expert decision, and training a model by using the training data set; and S4, applying the trained model to the vehicle to realize the automatic driving decision of the vehicle. According to the method, by combining conditional imitation learning and reinforcement learning, the dependence of the model on a training data set is reduced, and meanwhile, the problem of low reinforcement learning exploration efficiency caused by random initialization is solved; real vehicle data are collected and applied to model training, so that the trained model is closer to a real driving scene.
Owner:ANHUI COWAROBOT CO LTD +1
Lighting apparatus of autonomous driving vehicle
ActiveCN112092719AReduce in quantityEasy to installVehicle headlampsLighting circuitsComputer hardwareLight equipment
A lighting apparatus of an autonomous vehicle includes a lamp box disposed in a roof part of a vehicle; one or more front lamp units housed in a front portion of the lamp box and configured to distribute light to a forward area of the vehicle; one or more rear lamp units housed in a rear portion of the lamp box and configured to distribute light to a rearward area of the vehicle; one or more interior lamp units disposed at the bottom of the lamp box, and configured to distribute light to an indoor area of the vehicle; and a control unit configured to control operations of the front lamp unit,the rear lamp unit and the interior lamp unit. In the lighting apparatus of an autonomous vehicle, lamp electronic components can be more freely and easily arranged and designed in the cabin area of the vehicle, and the design freedom of the vehicle body can be improved.
Owner:HYUNDAI MOBIS CO LTD
System and method for sensing road surface condition
ActiveUS10676096B2Improve autonomous driving performanceImprove Sensing PerformanceAnalysing solids using sonic/ultrasonic/infrasonic wavesMaterial analysis using acoustic emission techniquesEngineeringRoad surface
Owner:HL KLEMOVE CORP
Vehicle preview point determination method and device and electronic equipment
PendingCN114670873AImprove selection accuracyImprove autonomous driving performanceExternal condition input parametersAutomotive engineeringReal-time computing
The invention discloses a method and device for determining a vehicle preview point and electronic equipment. The method comprises the following steps: acquiring a target trajectory point in an expected trajectory path of a target vehicle; attribute information of the target trajectory point is determined, and the attribute information at least comprises expected curvature information and expected orientation information; acquiring the current driving speed of the target vehicle; determining an elliptical trajectory path of the target vehicle according to the attribute information and the current driving speed; and determining a preview point of the target vehicle based on the elliptical trajectory path and the expected trajectory path. According to the invention, the technical problems of low preview point selection accuracy and poor automatic driving performance of a vehicle preview point determination method in the prior art are solved.
Owner:CHINA FIRST AUTOMOBILE
Integrated lateral and roll control method for autonomous driving distributed drive electric vehicles
Owner:XIAMEN UNIV
Autonomous driving module mounting structure
PendingUS20220250563A1Reduce air resistanceIncrease the areaElectric/fluid circuitElectrical apparatus casings/cabinets/drawersStructural engineeringMechanical engineering
Owner:TOYOTA JIDOSHA KK
Map data processing method and device
ActiveCN114061564AOptimizing for ConvergenceImprove fusion effectInstruments for road network navigationData miningData science
The embodiment of the invention provides a map data processing method and device. The method comprises the following steps of acquiring map data; determining description information of a first semantic element in the map data, and determining a third semantic element matched with the first semantic element according to the description information of the first semantic element; the description information of the first semantic element being generated according to projection information of one or more second semantic elements projected to a height layer to which the second semantic elements belong, and the one or more second semantic elements being determined according to a spherical coordinate system established according to the first semantic element; and fusing the map data according to the first semantic element and the third semantic element. Through the method, optimization of map fusion is realized, the repeated part in the map data can be found through setting of the description information, accuracy of the found repeated part can be ensured, the map fusion effect is improved, and the automatic driving capability is further improved.
Owner:GUANGZHOU XIAOPENG CONNECTIVITY TECH CO LTD
Obstacle detection information generation method, device, device and computer readable medium
ActiveCN112464921BImprove build qualityReduce detection efficiencyScene recognitionNeural architecturesPattern recognitionEngineering
Embodiments of the present disclosure disclose a method, device, device and computer-readable medium for generating obstacle detection information. A specific embodiment of the method includes: acquiring an image to be detected; generating a first target image and a second target image based on the image to be detected; generating a first regression prediction result set, a first classification prediction result set, a second regression A prediction result set and a second classification prediction result set; decoding the first regression prediction result set and the second regression prediction result set respectively to obtain a first decoding result set and a second decoding result set; generating a first detection information set; generating a second detection information set; performing data fusion processing on the first detection information set and the second detection information set to generate an obstacle detection information set. This embodiment realizes the generation of obstacle detection information, improves the generation quality of obstacle detection information, and provides convenience for automatic driving of vehicles.
Owner:禾多科技(广州)有限公司
Path planning method and device, storage medium and electronic equipment
PendingCN113686348AAvoiding Stopping ProblemsImprove autonomous driving performanceInstruments for road network navigationPathPingSimulation
An embodiment of the invention discloses a path planning method and device, a storage medium and electronic equipment. The method comprises the steps of: acquiring a current position of a target object and a position of a target prompt object; if the target prompt object is not in a detection range of the target object, acquiring a state parameter of the target object, and determining an auxiliary path of the target object based on the state parameter and the current position; determining a critical point on the auxiliary path based on the target orientation of the target object, wherein the target orientation is the orientation from an auxiliary point on a path stop line to the target prompt object; and determining a driving path of the target object based on the auxiliary path and the critical point. Therefore, the path planning method and device ensure that the target prompt object enters the detection range of the target object, the prompt information of the target prompt object can be recognized, the problem that the target object stops driving due to the fact that the prompt information cannot be obtained in the turning process is avoided, and the performance of automatic driving is improved.
Owner:JINGDONG KUNPENG (JIANGSU) TECH CO LTD
Apparatus for clustering lidar data, system having the same and method thereof
PendingUS20210389463A1Improve autonomous driving performanceImage analysisElectromagnetic wave reradiationVoxelRoad surface
A LIDAR data clustering apparatus, a system including the same, and a method thereof are provided. The apparatus includes a processor that is configured to generate a voxel map including at least one point data based on a LIDAR and remove a road surface point from the at least one point data. The processor also clusters the at least one point data. A storage of the apparatus is configured to store data obtained by the processor and an algorithm for driving the processor.
Owner:HYUNDAI MOTOR CO LTD +1
An automatic driving decision-making method and system based on a switch-type deep learning network model
ActiveCN112026782BImprove autonomous driving performanceRealize autonomous drivingControl devicesSteering wheelEngineering
The invention discloses an automatic driving decision-making method based on a switch-type deep learning network model, which includes: collecting the driving environment data of the vehicle under each navigation command through a plurality of cameras; step S11, the collected driving environment data , and the real-time navigation instructions are imported into the pre-trained and optimized automatic driving decision-making module, the automatic driving decision-making module adopts a switch-type deep learning network model, and the switch-type deep learning network model includes a multi-level convolutional neural network (CNN) layer, feature selection layer, long-short-term memory neural network (LSTM) layer and output layer; Step S12, described automatic driving decision-making module outputs steering wheel angle and vehicle according to the type of driving environment data and real-time navigation instruction inputted Desired driving speed to control the vehicle to realize automatic driving. The invention also discloses a corresponding system. The present invention can select and activate different characteristic switches according to different driving instructions, and can realize automatic driving under complex road conditions.
Owner:GUANGZHOU AUTOMOBILE GROUP CO LTD
Vehicle control method and device, equipment, storage medium and program product
PendingCN113655790AImprove autonomous driving performanceEasy to understandPosition/course control in two dimensionsVehiclesVehicle controlServer
The invention provides a vehicle control method and device, equipment, a storage medium and program product and relates to an automatic driving technology and an intelligent traffic technology. With the vehicle control method and device, the equipment, the storage medium and the program product adopted, a cloud server can take over a vehicle when the vehicle meets a certain condition, the processing capacity of the cloud server is utilized, the complex environment around the vehicle is processed, and therefore, the automatic driving performance of the vehicle is improved.
Owner:APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD
Obstacle position recognition method, device, computer equipment and storage medium
ActiveCN111488812BHigh precisionImprove autonomous driving performanceScene recognitionEngineeringSensor observation
The present application relates to an obstacle position recognition method, device, computer equipment and storage medium. The method includes: acquiring depth information, plane area information, and body area information corresponding to the obstacle; determining the target obstacle when the depth information, plane area information, and body area information are similarly matched; Set the location information, calculate the distance error information between the depth information, the plane area information and the main area information and the preset location information respectively; calculate the conditional probability distribution of the sensor observation information under the preset location information according to the distance error information; The distribution is estimated to obtain the target position information corresponding to the target obstacle. Using this method can improve the accuracy of estimating the position of obstacles that partially enter the field of view of the camera, thereby improving the performance of automatic driving.
Owner:TENCENT TECH (SHENZHEN) CO LTD +1
Processing frequency adjustment method, device and electronic equipment for vehicle control model
ActiveCN110275510BRealize a reasonable distributionImprove autonomous driving performanceProgramme controlElectric testing/monitoringResource assignmentSimulation
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
A vertical/horizontal/vertical anthropomorphic collaborative control method for off-road electric drive unmanned vehicles
ActiveCN107132840BSolving Motion Control ProblemsImprove autonomous driving performanceCharacter and pattern recognitionPosition/course control in two dimensionsResearch ObjectDriver/operator
A vertical / horizontal / vertical anthropomorphic collaborative control method for an off-road electric drive unmanned vehicle relates to vehicle control. Taking the driver as the research object, analyze the characteristics of the driver's steering / acceleration / deceleration maneuvering behavior on off-road roads; in view of the characteristics of unmanned vehicles in the unstructured road environment, such as parameter uncertainty, nonlinear coupling and delay, etc., construct a multi-performance objective based Optimized anthropomorphic control system. Establish a vertical / horizontal / vertical coupling dynamics anthropomorphic control system for off-road electric drive unmanned vehicles, and realize the dynamic coupling of off-road electric drive unmanned vehicles through the dynamic coordination of the coupled dynamics system for energy, information transmission, conversion and evolution Control can effectively improve the comprehensive performance of autonomous driving of electric-driven unmanned vehicles, thereby significantly improving the performance of the control system.
Owner:XIAMEN UNIV
Intelligent drive-by-wire chassis vehicle driving system based on mode switching and control method thereof
PendingCN114312832AExpand the range of perceptionImprove driving safetyVehicle position/course/altitude controlPosition/direction controlSwitching frequencyVehicle driving
According to the drive-by-wire chassis vehicle intelligent driving system based on mode switching and the control method thereof disclosed by the invention, global path information, destination information and road real-time traffic state information of vehicle driving and driving state information of other vehicles around the vehicle are acquired through vehicle networking communication, so that the vehicle sensing range is greatly expanded; therefore, the driving safety and the automatic driving performance of the vehicle are improved; according to the method, switching of the vehicle among the three intelligent driving modes under different road conditions is achieved, the cloud control automatic driving mode is preferentially adopted under the dangerous road condition, the switching frequency of the manual driving mode is reduced, the driving comfort is improved, and the driving safety is improved. The cost of a vehicle sensor and a controller is reduced, and the contradiction between the performance of the vehicle sensor and the controller and the driving comfort is reduced; by adopting the vehicle autonomous driving mode under the non-dangerous road condition, the frequency that the cloud system participates in controlling the vehicle autonomous driving is reduced, the load of the cloud system is further reduced, and the utilization rate of the cloud system is improved.
Owner:尚元智行(宁波)科技有限公司
Trajectory prediction method and device, electronic equipment and storage medium
ActiveCN113753038AImprove securityImprove autonomous driving performanceInternal combustion piston enginesPredictive methodsEngineering
The embodiment of the invention provides a trajectory prediction method and device, electronic equipment and a computer storage medium. The method comprises steps that the map information and the perception information are acquired; the map information comprises the position information of various obstacles recognized by a target vehicle; the sensing information comprises information about various obstacles collected by sensors on the target vehicle; a dynamic obstacle is determined from a plurality of obstacles according to the map information and the perception information; when it is determined that the dynamic obstacle contains the signal lamp, the type of the signal lamp is determined; and a corresponding trajectory prediction model is determined according to the type of the signal lamp, and trajectory prediction is conducted on the dynamic obstacle.
Owner:JINGDONG KUNPENG (JIANGSU) TECH CO LTD
Target recognition and learning method for autonomous driving in vehicle short-range communication network
ActiveCN108495287BImprove autonomous driving performanceParticular environment based servicesCharacter and pattern recognitionIn vehicleSimulation
Owner:DATANG GOHIGH INTELLIGENT & CONNECTED TECH (CHONGQING) CO LTD
Vehicle-mounted millimeter wave radar antenna, radar and vehicle
PendingCN114188693AExcellent signal gainOptimizing Antenna PatternsParticular array feeding systemsWave based measurement systemsIn vehicleAutomotive engineering
The invention discloses a vehicle-mounted millimeter-wave radar antenna, a radar and a vehicle, and the vehicle-mounted millimeter-wave radar antenna comprises a 1-to-n power dividing feed network, and n is a natural number greater than 2; n single-column antenna arrays, each single-column antenna array is correspondingly connected with one output end of the power division feed network, each single-column antenna array is formed by connecting k antenna radiation units in series through a microstrip line, and k is a natural number greater than 3; and the upper bottom surface of the trapezoidal reflection matching section is connected with the antenna radiation unit at the tail end of the single-row antenna array, and the lower bottom surface of the trapezoidal reflection matching section is connected with the microstrip line. By adding an antenna design structure of a trapezoidal reflection matching section in front of the last antenna radiation unit, the sidelobe level of a directional diagram can be integrally reduced by about 2dB, the antenna directional diagram can be effectively optimized, the signal-to-noise ratio of a radar system can be improved, and the anti-interference capability of a millimeter wave radar system can be improved.
Owner:武汉宇磐科技有限公司
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com