2317 results about "Signal light" patented technology

The invention discloses an end-cloud cooperative detection method and system for traffic anomalies, and relates to the technical field of intelligent traffic control. The method comprises the following steps: collecting traffic video streams through edge equipment, and identifying abnormal behaviors and generating structured event data by using a lightweight YOLOv3-tiny model; when the confidence exceeds a dynamic threshold and the event type is a high-risk type, uploading a video clip and data to a cloud; the cloud integrates a historical road condition map, meteorological data and a real-time traffic flow state, reconstructs a three-dimensional event scene by adopting a space-time attention pyramid network, and verifies the authenticity of an event in combination with a traffic flow sudden change detection algorithm; and generating a signal lamp forced switching instruction for the risk level overrun event, and issuing the signal lamp forced switching instruction to roadside equipment within 3 seconds to execute emergency response. According to the invention, full-link closed-loop control of traffic accidents from identification to response is realized, and the false alarm probability is greatly reduced while the identification accuracy is guaranteed.

The invention discloses an intelligent traffic control system and method based on multi-agent near-end strategy optimization, and belongs to the field of intelligent traffic, Internet of Vehicles and deep reinforcement learning. The method comprises the following steps: firstly, constructing a fog-cloud collaborative three-layer architecture, and realizing real-time monitoring and dynamic regulation and control of traffic flow through cloud global decision and local sensing collaboration of a road side unit (RSU); secondly, designing indexes of'road section overlap ratio 'and'road section time overlap ratio', and solving the problem of secondary congestion caused by rerouting; then, a multi-agent near-end strategy optimization (MAPPO) algorithm is adopted, so that the traffic signal lamp is used as an autonomous agent to dynamically adjust the phase, and the limitation of single-point control is broken; and finally, through integrated optimization of rerouting and adaptive signal control, an original multi-objective optimization problem is converted into a layered multi-agent reinforcement learning problem. According to the invention, vehicle driving time and system energy consumption can be effectively reduced, road traffic efficiency is improved, and active avoidance and dynamic alleviation of urban traffic congestion are realized.

The invention relates to a traffic condition-based signal lamp timing method, system and device and a medium. The method comprises the steps that target traffic parameters of all intersections in the current time period are acquired through a multi-source sensor network, the association strength between the intersections is calculated based on a preset traffic flow transmission model, an intersection set with the association strength exceeding a threshold value is screened, and a regional linkage adjustment framework is constructed. And when it is detected that the traffic flow density at the intersection exceeds a preset threshold value, priority ranking is performed on timing adjustment requirements according to the association strength and the over-limit degree, signal lamp timing parameters of the affected adjacent intersection are adjusted, and a regional timing scheme is generated. According to the method, by dynamically sensing the traffic flow state and quantifying the intersection cooperation relation, regional cooperation optimization of signal lamp timing is achieved, and the road network traffic efficiency and the traffic pressure balance are effectively improved.

The invention relates to the technical field of intelligent traffic control, in particular to a single-intersection signal lamp dynamic timing method and system based on holographic perception, and the method comprises the steps: collecting the information of a single intersection and surrounding traffic participants in real time through a multi-source holographic perception device, and carrying out the preprocessing, thereby obtaining a standardized traffic data set; based on the data set, combining vehicle, pedestrian and non-motor vehicle demand weights, constructing a traffic demand evaluation model, and calculating a demand priority coefficient of each entrance lane; constructing a signal lamp dynamic timing optimization objective function by taking minimization of intersection total vehicle waiting time, minimization of pedestrian crossing waiting time and maximization of intersection traffic volume per unit time as objectives according to the priority coefficient in combination with intersection traffic capacity constraint conditions, solving to obtain an optimal signal lamp timing parameter, and issuing the optimal signal lamp timing parameter to a control terminal; and traffic state feedback data of the intersection are collected in real time, and timing optimization is carried out again if the change exceeds a preset threshold value. The system can wait for a long time, improves the intersection passing efficiency, and relieves traffic congestion.

The invention provides a traffic signal lamp intelligent control method based on a fiber bragg grating sensing network, and relates to the technical field of traffic signal lamps, and the method comprises the steps: obtaining the detection data of each fiber bragg grating sensing line, and enabling the fiber bragg grating sensing lines to be transversely laid at a selected traffic crossroad along a lane, three fiber bragg grating sensing lines parallel to the stop line are laid on each road; determining the length range of the motor vehicle queuing length of each lane according to the detection data of each fiber Bragg grating sensing line; and controlling the working state of the corresponding traffic signal lamp according to the length range of the motor vehicle queuing length of each lane. The actual traffic flow can be determined through the detection data of the fiber Bragg grating sensing lines, the green light time can be dynamically allocated based on the actual traffic flow, the vehicle queuing time is shortened, and the passing efficiency can be effectively improved.

The invention provides an optical system, a control method, a vehicle optical signal device, a vehicle lamp and a vehicle, the optical system comprises at least one first light source assembly and a second light source assembly, and light emitted by the first light source assembly passes through an optical assembly and is emitted from a first light emitting area of a light emitting surface of the optical assembly; light emitted by the second light source assembly passes through the optical assembly and is emitted from a second light-emitting area of the light-emitting surface of the optical assembly, and at least partial area overlapping exists between the first light-emitting area and the second light-emitting area; wherein light emitted by the first light emitting area serves as a first light function, light emitted by the second light emitting area serves as a second light function, the first light function serves as a marker lamp of the driving automation system, and the second light function serves as other light functions with colors different from those of the first light function. Therefore, the structure and function multiplexing of the automatic system marker lamp and other signal lamps is realized, the cost of independently designing and manufacturing the automatic system marker lamp is effectively reduced, and the occupied space of the whole vehicle lamp is effectively reduced.

The invention provides a vehicle-road cooperation method and system, and the method comprises the steps: S1, obtaining original road side data and original vehicle end data which are reported by a road side and a vehicle respectively, and carrying out the standardization processing; and S2, carrying out sensing fusion on the standardized roadside data and the vehicle end data to obtain fused sensing data, carrying out sensing calculation by using the sensing data, and meanwhile, re-engraving the original vehicle end data, the original roadside data, the fused sensing data and a sensing calculation result. And S3, acquiring duplicated data in real time, performing quasi-real-time scene calculation in combination with the signal lamp, the roadside equipment and the vehicle end equipment, and acquiring and duplicating a quasi-real-time scene calculation result. And S4, issuing the quasi-real-time scene calculation result to the vehicle end or the roadside, and sending an early warning signal to the vehicle end or controlling roadside equipment. According to the invention, accurate replication and dynamic early warning of the vehicle-road data are realized, the traffic efficiency and the driving safety are improved, and the reliability and expansibility requirements of a large-scale vehicle-road collaborative network are met.

The invention relates to the technical field of image processing, and discloses a traffic behavior real-time identification method based on multi-modal spatial-temporal feature fusion. Traffic scene videos, images and traffic signal lamp state information are collected through a road monitoring camera, and target detection and tracking are carried out on video frames to obtain a target spatial-temporal trajectory; respectively extracting a target visual feature sequence and a signal feature sequence after signal lamp state coding by using a time sequence-space perception module, inputting the two sequences into a multi-modal semantic coupling and fusion network, and generating a fusion feature vector through feature alignment; and based on the vector, target behaviors are discriminated in real time through a behavior classifier, and a normal or abnormal detection result is output and an alarm is given. According to the method, multi-modal information is fused, semantic understanding and dynamic expression are enhanced, recognition robustness is improved, real-time performance and flexibility are achieved, misjudgment and missed judgment can be effectively reduced, and the method has great significance in improvement of the efficiency and the safety level of an intelligent traffic system.

The invention provides an intersection accident evacuation scheduling method based on cooperation of an unmanned aerial vehicle and a large language model, and relates to the technical field of intelligent traffic management, unmanned aerial vehicle application and artificial intelligence multi-mode fusion. The method comprises the following steps: generating an optimized patrol route based on a large language model; controlling an unmanned aerial vehicle cluster to perform multi-modal data acquisition on urban road network intersection nodes; fusing multi-source heterogeneous data by using a multi-modal fusion module enhanced by a large language model; inputting a multi-modal large language model based on a traffic-dedicated Prompt template, and generating a semantic report including accident positioning, influence evaluation and resource requirements; natural language decisions output by the large model are converted into structured control instructions, and signal lamp timing and lane allocation strategies are elastically adjusted in combination with real-time loads of a road network; and synchronously issuing a multi-mode guide instruction through the variable information board, the vehicle-mounted terminal and the navigation APP.

The invention discloses a molten steel element content on-line detection system based on a laser-induced breakdown spectroscopy technology, and relates to the technical field of molten steel element content on-line detection, the molten steel element content on-line detection system comprises an excitation system, an acquisition system, a data preprocessing module and a component detection module; the excitation system is used for emitting laser to the molten steel surface to generate plasma; the acquisition system is used for collecting signal light radiated by the plasma; the data preprocessing module is used for carrying out baseline correction and noise reduction processing on the collected original spectral signals; and the component detection module comprises an element content prediction model based on a gating specific expert attention network LSEA-Net and is used for carrying out quantitative analysis on the preprocessed spectral data to obtain the element content of the molten steel. The technology has the advantages that sample preparation is not needed, online rapid analysis and multi-element synchronous detection are achieved, and the technology is suitable for the high-temperature environment and the like, and the requirement of a steelmaking site for real-time component detection is met very well.

The invention provides a laser radar ranging method based on parallel detection, which relates to the technical field of laser radar ranging, and comprises the following steps: generating N lasers with different wavelengths, splitting beams by a beam splitter, separating optical channels with N independent wavelengths by a demultiplexer, performing frequency shift processing, combining N paths of optical signals after frequency shift through a beam combiner, and combining the N paths of optical signals after frequency shift through a beam splitter; generating a beam of composite reference light containing N wavelengths, wherein each wavelength has a specific frequency shift; signal light returned from a target and the composite reference light are jointly input into a coupler for frequency mixing so as to generate an optical beat frequency signal, and operation processing is performed to calculate the target distance and the target radial speed corresponding to each wavelength. According to the laser radar ranging method provided by the invention, parallel detection of the laser radar can be realized, beat frequency signals corresponding to a plurality of different wavelengths can be distinguished only by integrating a group of detectors, a cross-group amplifier and an analog-to-digital converter, the cost is greatly reduced, and the complexity of the system is reduced.

The invention relates to the technical field of VR panoramic road safety illegal behavior snapshot scheme design, in particular to a VR panoramic road safety illegal behavior snapshot method and system. The method comprises the following steps: acquiring an intersection panoramic video stream through a single panoramic device; illegal evidence obtaining is triggered based on space overlapping of the vehicle track and the electronic fence; synchronously judging a red light running behavior by combining a signal lamp state; identifying retrograde motion by comparing the motion vector with the lane direction vector; all-weather overspeed monitoring is realized by using a millimeter wave radar; and generating an evidence packet containing the two-dimensional panorama and the three-dimensional reconstruction model. The system is composed of a panoramic acquisition module, an electronic fence module, a behavior analysis module, an illegal evidence obtaining module and a data communication module. The method has the core advantages that all-intersection coverage is achieved through single equipment, the illegal recognition accuracy is improved through multi-source data fusion, the evidence effectiveness is enhanced through the three-dimensional reconstruction technology, and the law enforcement cost and the dispute risk are remarkably reduced.

An optical parametric oscillator and method for generating coherent signal light involve a resonant optical cavity for coherent signal light, and in the cavity a non-parametric gain element for amplifying the coherent signal light to only partially compensate for passive optical roundtrip losses, thereby obtaining lower effective roundtrip losses. A parametric gain element is arranged in the cavity, for converting coherent pump light into coherent signal light through an instantaneous nonlinear optical interaction. The parametric oscillator has means for adjusting an intracavity optical power of the coherent pump light above a threshold value, where the parametric gain is balancing the effective roundtrip losses, thus inducing sustained oscillations of the signal light in the optical cavity. The non-parametric gain element is configured to have a limited non-parametric gain over a gain bandwidth of the parametric gain element, which is less than the passive optical roundtrip losses in the gain bandwidth.

The invention provides a mixed traffic cooperative control method based on multi-agent reinforcement learning, which can be applied to the technical field of intelligent traffic and automatic driving. The method comprises the following steps: inputting first state information of a target intersection and second state information of an adjacent intersection into a signal lamp intelligent body obtained based on public traffic priority target training, and outputting a signal lamp phase control action; inputting the signal lamp information and the automatic driving vehicle information of the automatic driving vehicle at the target intersection into a signal lamp fine-tuning intelligent body obtained based on safety target training, and outputting a signal lamp fine-tuning control action; inputting the signal lamp information, the automatic driving vehicle information and the front vehicle driving information into an automatic driving vehicle intelligent body obtained based on safety efficiency cooperative target training, and outputting an automatic driving vehicle driving action; and under the condition that the first signal lamp is controlled to execute the signal lamp phase control action and the signal lamp fine adjustment control action, the automatic driving vehicle is controlled to execute the driving action of the automatic driving vehicle.

To facilitate axis matching of signal light to be communicated in a bidirectional manner.SOLUTION: A first optical communication device 10 comprises: a light radiation element 11 which radiates transmission signal light (first communication light L1) toward a second optical communication device 20 of a communication target; a lens 12 on which reception signal light (second communication light L2) from the second optical communication device 20 of the communication target is incident; and a light-receiving element 13 which receives the reception signal light that is condensed by the lens 12. A through hole 12a is provided in the lens 12. The light radiation element 11 is disposed on a virtual line L0 along the through hole 12a so as to perform the radiation while making an axis of the transmission signal light parallel with an optical axis Op of the lens 12 in such a manner that the lens 12 is not irradiated with the transmission signal light, and the light-receiving element 13 is disposed at a position where the reception signal light condensed by the lens 12 can be received in a case where an axis of a center of the transmission signal light radiated from the light radiation element 11 overlaps an axis of a center of the reception signal light incident on the lens 12.SELECTED DRAWING: Figure 1

The utility model discloses an ultrafast space-time light field measuring system, which performs dispersion separation on an interference light field generated after superposition of a laser pulse to be measured and a reference pulse, and performs wavelength screening on the interference light field after dispersion separation by using a wavelength screening element to obtain a laser light field with a target wavelength. Acquiring light field complex amplitude information corresponding to the laser light field of the target wavelength; and reconstructing according to the light field complex amplitude information to obtain a light field corresponding to the laser pulse to be measured. According to the system disclosed by the utility model, the delay between the signal light and the reference light in the measured laser pulse does not need to be regulated and controlled, and the ultrafast space-time light field can be reconstructed only by enabling the same-frequency components to interfere in the same spatial position to obtain the interference pattern of each frequency. The system provided by the utility model has the characteristics of convenience in implementation, interference resistance, low background noise, low data volume, high measurement efficiency and high measurement result accuracy.

The invention discloses a multi-agent reinforcement learning multi-task agent decision-making method and system for a crossroad without signal lamps, and belongs to the technical field of intelligent network connection vehicle multi-task agent decision-making control. According to the method, vehicle-road cooperation is achieved through wireless communication, an automatic driving vehicle uploads state and task data to a road side unit, the road side unit adopts a multi-task mixed attention mechanism, data are processed through a self-attention module and a cross attention module, and decision features are generated and input into a strategy network. And finally generating a longitudinal control instruction by combining an offline and online mixed sampling strategy training model, and issuing and executing the longitudinal control instruction through wireless communication. According to the method, the sensing range can be expanded, the key target can be dynamically focused, the training efficiency and the decision-making stability are improved, and the collaborative decision-making capability and the traffic safety of the automatic driving vehicle in the mixed traffic environment are remarkably enhanced.

The invention relates to a miniaturized medium-long wave infrared solid-state laser in which a thulium-doped laser directly pumps a ZGP crystal, the thulium-doped laser takes two laser diodes with the central emission wavelength of 793 nm as pumping sources, two Tm: YAP crystals with the same parameters are cascaded and placed in a U-shaped resonant cavity to serve as laser gain media, and an acousto-optic Q crystal controls intra-cavity loss in the resonant cavity, so that the thulium-doped laser directly pumps the ZGP crystal. Pulse laser with the wavelength of 1.94 m is output; the 1.94 m pulse thulium laser serves as pump light and passes through the ZGP-OPO module, and 2.8 m signal light and 6.2 m idler frequency light are obtained. The Tm laser outputs 1.94 m laser through primary oscillation to directly serve as a pump source, the ZGP-OPO outputs medium-long wave infrared laser in a nonlinear mode, the overall light path structure of the medium-long wave laser is simplified, and the electro-optical conversion efficiency is improved.

The invention discloses a dynamic planning method and system for smart city traffic, and relates to the technical field of smart cities and intelligent traffic, and the method comprises the steps: collecting multi-source traffic data, and carrying out the fusion preprocessing; constructing a dynamic weight model to calculate a priority weight; a signal lamp timing scheme is generated based on the weight and is adjusted through a rolling optimization mechanism; outputting an optimization strategy by combining historical and real-time feedback evaluation effects; and a manager is notified through the acousto-optic prompt device and a report is generated. According to the invention, through the dynamic weight model and the rolling optimization mechanism, the overall delay time of the intersection is reduced, the traffic capacity of the traffic flow is improved, the Kalman filter is introduced to fuse multi-source data, and the data processing precision is improved; the LSTM network is adopted to predict the future traffic flow, a scientific basis is provided for a signal lamp timing scheme, and the workload of traffic management personnel is reduced through the acousto-optic prompt device and the automatic report generation module.

The invention discloses an ultra-wideband femtosecond optical parametric oscillator capable of being quickly tuned, and relates to the technical field of optical parametric oscillators. The oscillator comprises a frequency doubling device, an optical parametric oscillator resonant cavity device and a dispersion compensation chirp mirror pair module. According to the invention, the original phase matching bandwidth is further broken through by adopting a non-collinear phase matching mode that the transmission included angle between the pump light and the signal light is 2.5 degrees, and rapid wavelength tuning can be realized only by finely tuning the cavity length under the condition that the angle of the nonlinear crystal is not adjusted; the broadband tunable optical parametric oscillator can break through the bottlenecks in the aspects of wavelength tuning range, wavelength tuning speed and the like of the existing near-infrared optical parametric oscillator, and provides a novel light source with larger wavelength tuning range and higher tuning speed for the fields needing broadband tunable light sources, such as spectroscopy, micro-nano processing, optical frequency combs and the like.

The invention relates to a wind measurement laser radar system, which comprises a first light source assembly for emitting first signal light and a second light source for emitting multimode pump laser, the acousto-optic device is used for performing pulse and frequency shift modulation on the first signal light to obtain second signal light; the first optical fiber is a double-cladding erbium-ytterbium co-doped optical fiber and is used for amplifying the second signal light to obtain third signal light; the polarization reflection device filters amplified spontaneous emission light in the third signal light to obtain fourth signal light; the first optical fiber further amplifies the fourth signal light again to obtain fifth signal light; the acousto-optic device performs pulse and frequency shift modulation on the fifth signal light again to obtain sixth signal light; the time division switching device controls the deflection module to deflect the sixth signal light, so that the sixth signal light is split by the beam splitting module at different time to obtain seventh signal light, the seventh signal light is emitted through different ports, the power of the two-way amplifier can be further improved, and the detection distance of the wind measurement radar is increased.

The invention discloses an automatic driving control method and device and a vehicle, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining the signal lamp indication information of a traffic signal lamp in front of the vehicle and the current position of the vehicle; under the condition that the signal lamp indication information indicates the first passing instruction, in response to the situation that the current position is located in a preset scene range, extracting wearing features of personnel in the preset scene range, determining traffic management personnel based on the wearing features, and in response to successful authentication of the traffic management personnel, determining gestures of the traffic management personnel; and in response to the gesture indicating the second passing instruction and the first passing instruction and the second passing instruction being mutually exclusive, controlling the vehicle to run based on the second passing instruction. Therefore, the automatic driving vehicle is more intelligent, the congestion is effectively relieved, and the traffic efficiency is improved.

The invention discloses a non-diffraction laser communication terminal based on Bessel beams. The terminal comprises a beacon transmitting module, an optical antenna module, a beacon receiving module, a signal transmitting module, a signal receiving module and a light splitting module. The beacon transmitting module and the signal transmitting module respectively convert the Gaussian beam into a Bessel beam through an axicon, and the Bessel beam is output through a collimating lens; a primary mirror and a secondary mirror of the optical antenna module are mounted in an off-axis manner, so that light beams are shrunk and expanded; the light splitting module completes light path switching and light splitting through a fast reflecting mirror, a 1 / 4 wave plate, a dichroscope and a polarizing beam splitter; the beacon receiving module obtains beacon light position information through a CMOS detector, and the signal receiving module receives signal light through an APD detector. The non-diffraction characteristic of the Bessel beam is utilized, and the off-axis optical antenna and the polarization beam splitting design are combined, so that high-precision and low-loss laser communication is realized.

The invention relates to the field of performance testing of high-precision fiber-optic gyroscopes, and discloses an automatic testing method and system for the extinction ratio of a high-precision fiber-optic gyroscope, and the method comprises the following steps: constructing a signal light path and a reference light path, and combining the output light of the signal light path and the reference light path into a combined light signal in an orthogonal polarization state; integrally measuring the extinction ratio of the combined optical signal by using an extinction ratio tester to obtain a measured value; the control unit compares the measured value with a target value of 0dB and generates a control instruction based on a difference value; the voltage controller automatically adjusts the voltage of the integrated optical modulator in the signal light path according to the instruction, and iterative optimization is carried out through closed-loop feedback until the actually measured extinction ratio reaches a target value; and finally recording and solidifying the optimal voltage value. According to the invention, single and accurate extinction ratio overall measurement is used for replacing two times of error-prone independent optical power measurement, full-automatic closed-loop control is realized, the precision, efficiency and consistency of optical power balance are remarkably improved, and the skill requirements on operators are reduced.

The invention relates to the technical field of multi-plane light conversion, in particular to a multi-dimensional demultiplexing and frequency mixing system based on an MPLC and an optimization design method of the multi-dimensional demultiplexing and frequency mixing system. The system comprises an input module used for inputting multimode signal light and local oscillation light; the MPLC module is used for realizing unitary transformation of light in any space, comprises N cascaded phase transformation areas and is integrated on the reflecting mirror or the transmitting mirror; the phase transformation regions are phase plates or metasurfaces, and at least one phase transformation region is a metasurface; and the output module is used for receiving the single-mode Gaussian light spots after demultiplexing and frequency mixing. According to the invention, different phases of different wavelengths and different polarization states are regulated and controlled through the metasurface; parallel demultiplexing of wavelengths, polarization and modes in multimode signals can be realized.

The invention provides a vehicle-road cooperation roadside signal processing device. The vehicle-road cooperation roadside signal processing device comprises a high-definition camera, a laser radar, a millimeter-wave radar and a signal lamp collector which are arranged on the roadside. The RSU module is connected with the intelligent network connection vehicle and the edge computing node and is used for transmitting the vehicle position, the driving intention, the early warning information and the control instruction to the intelligent network connection vehicle and the edge computing node; the edge computing node comprises a data management module, a fusion sensing module, an application function module and a system management module, and the system management module performs monitoring, log level-to-level management, crash restart strategy and OTA updating functions on equipment states. The invention also provides a vehicle-road cooperation roadside signal processing method, which comprises the steps of designing parameter configuration, collecting data, generating traffic participant data based on a multi-sensor data fusion algorithm, and carrying out ROI partitioning and marking to generate an event detection analysis result and a traffic flow analysis result.

An optical path testing device and an optical path testing method divide output light from a laser light source into a probe optical path and a local optical path and convert modulated light obtained by modulating input light of the probe optical path into probe light including pulsed light, generate a beat signal by causing signal light and input light of the local optical path to interfere with each other, acquire a signal indicating backscattered light in the optical fiber on the basis of the beat signal, and analyzes a loss distribution, generate the modulated light by performing, on the output light, modulation based on a frequency changing from a start frequency to an end frequency, generate an analysis signal by averaging the backscattered light in each different frequency band included in the beat signal between the different frequency bands and acquire the loss distribution.

The invention discloses an automatic driving obstacle recognition method for a complex scenic spot road scene. The method comprises the following steps: acquiring an original image of a scenic spot road; inputting a multi-scale feature extraction network to generate a multi-scale feature map; inputting the image into a multi-branch decoder to respectively obtain an obstacle region segmentation result, an obstacle position bounding box coordinate and an obstacle type classification probability; in combination with surrounding environment information of road geometrical morphology, weather and signal lamp states, feature weighting is carried out on the surrounding environment information by adopting an attention mechanism, and an initial obstacle saliency map is generated; according to a preset obstacle type priority level, detecting and processing an identification result of spatial overlapping in the image to obtain an obstacle identification result after conflict resolution; and performing spatial consistency proofreading on the road path segmentation map and the road path segmentation map, eliminating inter-frame jump based on time sequence smoothing, and finally outputting an identification result. According to the invention, the problem of high-precision and real-time obstacle recognition for complex scenic spot road scenes is effectively solved.

The invention provides a traffic signal lamp data quality detection method, a traffic signal lamp data quality correction method and related equipment, and the method comprises the steps: receiving traffic signal lamp data reported by traffic signal lamp equipment in real time based on a distributed stream processing architecture, carrying out the structural processing, and extracting equipment identification, timestamp, signal state, phase information and other fields; in a distributed stream processing architecture, anomaly detection tasks of multiple dimensions of data timeliness, signal logic consistency and equipment online state are executed in parallel, data quality marks including anomaly types and corresponding anomaly parameter values are generated, and traffic signal lamp data with quality labels are formed. And for the detected abnormal data, executing corresponding data correction strategies according to different abnormal types, and issuing the corrected traffic signal lamp data to a downstream service module for use. According to the invention, high-concurrency and low-delay data processing is realized in a scene of dense deployment of multi-source traffic signal lamp equipment, and the real-time performance and accuracy of the traffic signal lamp data are improved.

The invention relates to the technical field of light quantum metering, in particular to a multifunctional standard single photon source generation and calibration device and a use method, and the device comprises a pumping laser light source, a nonlinear crystal, a signal optical filter, a beam splitter, a temperature control module, an idler frequency optical filter, a control module, a single photon detector group, a beam splitter, a multi-channel coincidence counter, and an optical switch. The pumping laser light source pumps the nonlinear crystal to generate two paths of single photon output of signal light and idler frequency light, the two paths of single photon output are filtered by the filter and then divided into multiple paths by the beam splitter, and standard single photons are directly output or the paths of the signal light or the idler frequency light are controlled by the optical switch to enter the single photon detector group for detection. External input single photons are controlled by the optical switch to enter the single-photon detector group for detection, and a count value of the single-photon detector group is accessed to the multichannel coincidence counter to record data. A pump light stable power system and a multi-path beam splitting coincidence counting system are introduced into a light path, so that standard single photon output with known brightness and g (2) (0) value can be realized.