98 results about "Blind spot detection" patented technology

The invention discloses a network risk assessment model construction method and system based on an AI large model, and relates to the technical field of artificial intelligence and network security, and the method comprises the following steps: S1, a participating node splits a large model into a plurality of semantic independent fragmentation units through a dynamic fragmentation mechanism based on local multi-source heterogeneous data; according to the network risk assessment model construction method and system based on the AI large model, through a dynamic fragmentation federated distillation learning framework, the inherent contradiction between data privacy protection and AI large model training efficiency in cross-mechanism cooperation is effectively solved. A ten-billion-level parameter model is disassembled into semantic independent units by adopting a self-adaptive parameter fragmentation mechanism, the communication overhead is reduced on the premise of ensuring physical isolation of sensitive data in combination with a local differential privacy and parameter confusion technology, and meanwhile, cross-domain fusion of threat features and attack surface blind spot detection are realized through a layered distillation verification system. And the APT attack detection rate is improved.

The invention discloses a blind area prompting method and device, electronic equipment and a storage medium, and belongs to the technical field of vehicle application, and the method comprises the steps: determining a target blind area of a target vehicle according to a to-be-driven route of the target vehicle; acquiring a first environment image shot by an environment camera corresponding to the target blind area; performing target detection based on the first environment image, and generating first state information of each traffic participant in the target blind area; and based on the first state information of the traffic participant, generating an environment modeling image containing the traffic participant and displaying the environment modeling image. The target vehicle can notice traffic participants in the blind area in time, the driving safety of the target vehicle can be improved, target detection is carried out on the target blind area determined by the to-be-driven route of the target vehicle, the target vehicle can be prevented from processing images of all environment cameras in the current environment, and the driving safety of the target vehicle is improved. The data volume needing to be processed in the blind area detection process is reduced, and the blind area reminding efficiency and speed of the target vehicle can be improved.

A vehicular sensing system includes a radar sensor including a radar module having a plurality of transmitters and a plurality of receivers. The radar module includes a plurality of facets, with each facet arranged at an obtuse angle relative to an adjacent facet and having a respective transmitter and a respective receiver disposed thereat. The respective transmitter and the respective receiver of each facet have a respective field of sensing and a respective principal sensing axis that is perpendicular to the respective facet. The vehicular sensing system, responsive to processing by the data processor of sensor data captured by the radar sensor, determines presence of a target object within a field of sensing of the radar sensor. Responsive to determining presence of the object, the vehicular sensing system controls a system of the vehicle based on the determined presence of the object.

A mmWave radar sensor module is proposed, to have a specific structure enabling a 180° field of View (FoV) with an affordable system cost. The proposed mmWave radar sensor module is put to use in passenger vehicles, commercial vehicles, automated guided vehicles (AGVs), as well as motorcycles and bikes, enabling a variety of application features: smart parking assistance, replacing PDC sensors, determining the distance, speed and angle of targets, including their tracking, detection of people, tracking of people, tailgate and door protection by restricting opening, gesture and kick sensing, and other applications. In the case of two-wheelers and three-wheelers, the same apparatus may cover also blind sport detection application in the affordable system manner.

The invention provides an intelligent vehicle path prediction system for automatic driving, and the system comprises a blind spot detection module which is used for obtaining blind spot region information based on environment data collected by a sensor of an automatic driving intelligent vehicle; the judgment module is used for judging whether the current driving path of the vehicle passes through the blind spot area or not, and if yes, an avoidance path is planned; the avoidance path planning module is used for searching an avoidance path scheme for avoiding the blind spot area in the vehicle driving area based on the blind spot area information; the path optimization module is used for optimizing the avoiding path scheme to obtain an optimal path; and the path prediction module is used for obtaining a local motion track and speed planning of the vehicle based on the optimal path, and completing intelligent vehicle path prediction. The problems of blind spot avoidance and path prediction planning of the automatic driving vehicle in a complex environment are effectively solved, the driving safety and the energy efficiency are improved, and reliable technical support is provided for application of an automatic driving technology in an actual road environment.

The invention discloses a mine environment investigation method and system based on an unmanned aerial vehicle, relates to the technical field of mine safety monitoring, and discloses the mine environment investigation method and system based on the unmanned aerial vehicle, through cooperative work of a master unmanned aerial vehicle and a slave unmanned aerial vehicle, a high-risk blind area is dynamically identified, and compensation data is collected; the repair model is generated in combination with the multi-modal fusion technology, the problem that the blind area detection precision is low in a traditional method is solved, the detection tasks can be dynamically allocated, multi-modal data fusion can be achieved, and the accuracy of mine environment detection is improved.

The utility model discloses a blind spot detection rearview mirror support which comprises a vehicle door and a rearview mirror arranged on one side of the vehicle door, a support is arranged at the joint of the rearview mirror and the vehicle door, a camera is arranged on one side of the support, and a blind spot detection system is arranged in the camera. The automobile rearview mirror has the advantages that the automobile rearview mirror comprises an automobile door and a rearview mirror body arranged on one side of the automobile door, a support is arranged at the joint of the rearview mirror body and the automobile door, a camera is arranged on one side of the support, and a blind spot detection system is arranged in the camera.

A system of object detection for a trailer. In one example, the system includes a camera configured to capture images of the trailer, where the images include an object other than the trailer. The system also includes a sensor configured to capture sensor data, a display configured to display images from the perspective of the camera, and a controller on the vehicle. The controller includes an electronic processor configured to receive the image data from the camera, receive the sensor data from the sensor, determine a blind spot, analyze the sensor data for radar data associated with the object, calculate the position of the object relative to the blind spot and the trailer, determine that the object is within the blind spot using an object detection algorithm, and in response to the determining that the object is within the blind spot, generate an augmented image.

The invention discloses a commercial vehicle avoidance control method based on blind area detection and a related device. The method comprises the steps that vehicle size information of a target commercial vehicle and the sight height of a driver are acquired, and the blind area range of the target commercial vehicle is estimated according to the vehicle size information and the sight height; based on the sensor parameters of the target commercial vehicle, the driving speed and direction of the target commercial vehicle and the speed and direction of the moving obstacle are determined; based on the driving speed and direction of the target commercial vehicle and the speed and direction of the moving obstacle, calculating and determining a suspicious obstacle entering a blind area range of the target commercial vehicle within a set time period; and calculating the minimum speed and / or the optimal direction of the target commercial vehicle for avoiding the suspicious obstacle, and feeding back the minimum speed and / or the optimal direction to the driver for avoiding control. Therefore, the target commercial vehicle can timely avoid the moving obstacle possibly entering the blind area range, the probability of driving danger time caused by the sight blind area of the target commercial vehicle is reduced, and the driving safety is improved.

Disclosed in the present invention are a blind spot detection method and system, an electronic device, an intelligent carriage, and a vehicle. The method comprises: acquiring turning information of a vehicle, and preprocessing the turning information of the vehicle; on the basis of the current traveling state of the ego vehicle, estimating a curve radius, establishing a curve scene mathematical model, and calculating a blind spot position, so as to obtain a current curve blind spot; and detecting whether an obstacle is present in the current curve blind spot, and if yes, issuing an early warning. In the present invention, the current curve blind spot is obtained by estimating the curve radius, establishing the curve scene mathematical model and calculating the blind spot position, and whether an obstacle is present in the current curve blind spot is detected, thereby improving the precision of the blind spot detection system in a curve scene, improving the accuracy of blind spot system detection, and guaranteeing the safety of a driver.

The present invention relates to an apparatus for recognizing and warning of an object in a vehicle A-pillar blind spot and a method thereof. This apparatus for recognizing and warning of an object in a vehicle A-pillar blind spot comprises: a driving determination unit for determining a travel direction of a vehicle in motion by using at least one of a steering wheel angle, a vehicle speed, and a turn signal of the vehicle; a collection unit for collecting image data and electromagnetic wave data of the A-pillar blind spot in the determined travel direction through a camera and a radar sensor installed in the vehicle; a blind spot detection unit for executing a pre-provided blind spot detection algorithm to analyze the collected image data and determine whether an object exists in the A-pillar blind spot; and a warning output unit for outputting a warning in a visual and / or audible manner according to the determination result.

The invention relates to a method for estimating at least one blind spot (24) of a first, at least partially automated motor vehicle (10) by a blind spot detection system (12) for the first motor vehicle (10), comprising the steps of: (S1) providing at least one first piece of data relevant for the object detection task (19) by an electronic computing device (14) of the blind spot detection system (12); (S2A) determining the presence of at least one second motor vehicle (20) in the vicinity of the first motor vehicle (10) by the electronic computing device (14); (S2A) establishing a connection (26) between the first motor vehicle (10) and the second motor vehicle (20) by a telecommunications device (16) of the blind spot detection system (12); (S3) receiving at least one second piece of data relevant for the object detection task (28) from at least the second motor vehicle (20) by the telecommunications device (16);(S4) Comparing at least the first data point (19) with at least the second data point (28); (S5) Determining, based on at least one such comparison, at least one area that cannot currently be observed by at least the first motor vehicle (10) but can be observed by at least the second motor vehicle (20); (S6) and estimating at least the blind spot (24) based on the determination of at least one such area. (S7) The present invention further relates to a computer program product, a non-volatile, computer-readable storage medium, and a blind spot detection system (12).

The invention provides enhanced vehicle blind spot detection with a transparent trailer. A system for object detection of a trailer. In one example, the system includes a camera configured to capture an image of the trailer, where the image includes an object other than the trailer. The system also includes a sensor configured to capture sensor data, a display configured to display an image of the angle from the camera, and a controller on the vehicle. The controller includes an electronic processor configured to: receive image data from the camera, receive sensor data from the sensor, determine a blind spot, analyze the sensor data for radar data associated with the object, calculate a position of the object relative to the blind spot and the trailer, and transmit the calculated position to the electronic processor. An object detection algorithm is used to determine that the object is within the blind spot, and in response to determining that the object is within the blind spot, an enhanced image is generated.

The present invention relates to an intelligent monitoring system and method for a muck truck, including a fatigue driving monitoring DSM camera, an assisted driving ADAS camera, a blind spot detection BSD camera, a driving recorder, a roof monitoring device, a spillage monitoring mechanism and a main control system. The fatigue driving monitoring DSM camera is embedded in the vehicle cab, the assisted driving ADAS camera and the driving recorder are both embedded in the outer surface of the vehicle, the blind spot detection BSD cameras are distributed on both sides of the vehicle axis, the roof monitoring device is connected to the vehicle top, the spillage monitoring mechanism is connected to the vehicle body, and the switch sensor and the main control system are both embedded in the main control circuit of the vehicle. Its monitoring method includes two steps: system assembly and vehicle monitoring. On the one hand, the present invention can effectively meet the needs of synchronous operation and use of various types of muck truck equipment and transportation road conditions; on the other hand, it has high monitoring accuracy and comprehensive monitoring data, and can comprehensively monitor the state information of the driver and the vehicle operation state information when the muck truck is running.

The invention provides a telescope tracking blind area detection method, device and equipment. The telescope tracking blind area detection method comprises the following steps: acquiring orbit parameters of a space target at a target orbit height; according to the track parameters, first track data of a telescope passing zenith at the target track height is generated, and the first track data is used for guiding the telescope to track; acquiring second trajectory data generated when the telescope tracks the first trajectory data, wherein the second trajectory data is actually measured for the telescope; and determining a tracking blind area of the telescope at the target orbit height according to error data between the first trajectory data and the second trajectory data. The method is simple and easy to implement, can be widely applied to actual detection of the size of the tracking blind area of the horizon telescope, and carries out comprehensive coverage detection on the height of each track.

A method for detecting a blind spot of a vehicle is provided The method for detecting a blind spot of a vehicle includes acquiring a vehicle image around a host vehicle using an image sensor, calculating an overall length and an overall width of a target vehicle included in the vehicle image, and detecting at least one region corresponding to a blind spot of the target vehicle using the overall length and the overall width of the target vehicle when the overall length of the target vehicle is greater than or equal to a predetermined length.

The utility model relates to the technical field of adjustable blind spot detection, and discloses adjustable blind spot detection equipment, which comprises a mounting disc and a detection camera mounted below the mounting disc and used for detection, a connecting frame is mounted on the bottom side of the mounting disc, support frames are mounted on two sides of the connecting frame, and a mounting frame is movably mounted between the two support frames. A movable column is mounted in the mounting frame, the detection camera is arranged on the bottom side of the movable column, a rotating motor for driving the movable column to rotate is mounted in the connecting frame, and a connecting rod for driving the movable column to rotate is mounted between the rotating motor and the movable column; meanwhile, the extension column rotates around the mounting disc through cooperation of the mounting frame and the movable column, the movable column is obliquely arranged in the mounting frame, so that the detection camera obliquely rotates, the structure is simple, operation is convenient and fast, the monitoring range can be enlarged through oblique rotation of the camera, the monitoring area is wider, and the monitoring efficiency is improved. More areas or angles can be covered, and the monitoring efficiency is improved.

A high-precision real-time Braille-Chinese translation method comprises the following steps: acquiring a Braille image by using a camera configured with a specific lateral parallel light source, and preprocessing the Braille image to obtain a first image; inputting the first image into the model, obtaining bounding box information of all detected Braille salient points, and extracting Braille coordinates and sizes; fitting the overall trend of the braille line by using all detected blind spot coordinates and adopting least square linear regression, calculating to obtain an inclination angle, generating a rotation matrix through the inclination angle, and performing affine transformation on all blind spot coordinates to obtain a corrected second image; performing structure segmentation on the second image to obtain a blind character point set; and converting the content of the blind character point set into Chinese content based on a conversion rule of Braille and Chinese characters. According to the method, a complete algorithm link from image original blind spot detection to structured analysis to final Chinese text translation is constructed. And automatic braille recognition and translation with high precision and high robustness are realized.

The invention relates to a method, system and computer program product for determining a position of a person with respect to a blind spot of a vehicle. In a first aspect, the invention relates to a method for determining a position of a person with respect to a blind spot of a vehicle. In a second and third aspect, the invention relates to a system and a computer program product, respectively, for determining a position of a person with respect to a blind spot of a vehicle. Embodiments of the present invention are discussed throughout the claims, description and figures.

Vehicle assistance control device, including: a blind spot detector (70, 72) configured to detect the presence or absence of a blind spot from the vehicle's perspective in one direction of travel of the vehicle; a driving operation detector (34, 44) configured to detect a driving operation of a driver; and an electronic control unit (60) configured to perform automatic deceleration control of the vehicle based on the detection of the presence of the blind spot by the blind spot detector (70, 72), wherein the electronic control unit (60) is configured to initiate automatic deceleration control by reference to the driver's driving operation after the blind spot detector (70, 72) detects the presence of the blind spot, wherein the electronic control unit (60) is configured to initiate automatic deceleration control when a braking or steering operation by the driver is detected after the presence of the blind spot has been detected, wherein the electronic control unit (60) is configured to initiate the automatic deceleration control when a predetermined time has elapsed after the blind spot has been detected.

The invention discloses a blind area detection method, a vehicle, a readable storage medium and a computer program product. The blind area detection method comprises the following steps: acquiring a pedestrian image and detecting pedestrians in the pedestrian image; when a pedestrian enters a cart or a blind area behind a wall, collecting point cloud data; pedestrian joint features are extracted from the pedestrian image and are used as feature points; performing hierarchical fusion judgment on the point cloud data and the joint feature point data of the pedestrian; and if the target fusion is successful, matching the point cloud data with the pedestrian joint feature points, and fusing the confidence of the radar detection points to realize tracking of the pedestrian motion state. The method comprises the following steps: detecting a target, extracting target features, and matching the extracted same target features to detect a sheltered target, obtain the motion state of the sheltered target, and calculating the motion state of the sheltered target and the motion state of a vehicle so as to determine whether the vehicle accelerates to pass or decelerates to avoid or not.

The invention relates to a blind area detection method and device, a driving device and a computer program product. The method comprises the steps that when it is detected that an obstacle enters a blind area recognition area, the detection distance between driving equipment and the obstacle is determined, and the detection distance refers to the distance with the distance error between the distance and the real distance within a specific range. And determining whether the obstacle enters the blind area of the driving equipment or not according to the triggering condition of a blind area recognition unit on the driving equipment and the detection distance. According to the scheme provided by the invention, the blind area recognition unit can be used for determining the blind area detection result under the condition that the blind area recognition unit is normally triggered, and the blind area detection result can be determined based on the detection distance under the condition that the blind area recognition unit fails because the error of the detection distance is very small; therefore, whether the obstacle enters the blind area of the driving equipment or not is judged by combining the blind area recognition unit on the driving equipment and the detection distance, and the stability of the recognition result is improved.

A mmWave radar sensor module is proposed, to have a specific structure enabling a 180° Field of View (FoV) with an affordable system cost. The proposed mmWave radar sensor module is put to use in passenger vehicles, commercial vehicles, automated guided vehicles (AGVs), as well as motorcycles and bikes, enabling a variety of application features: smart parking assistance, replacing PDC sensors, determining the distance, speed and angle of targets, including their tracking, detection of people, tracking of people, tailgate and door protection by restricting opening, gesture and kick sensing, and other applications. In the case of two-wheelers and three-wheelers, the same apparatus may cover also blind sport detection application in the affordable system manner.

A radar system and methods of using the system provide a wide field of view for identifying objects proximate a vehicle. The radar system includes a number of aligned strings of patch antennas as a transmit antenna and one or more strings of patch antennas as a receiving antenna. Driving circuitry also is provided to drive transmission via the antenna strings. In examples, the antenna system reduces the negative impacts of deep nulls.

The present invention provides a metal foreign object detection circuit and a wireless charging metal foreign object detection system with no blind spots. The circuit includes four blind spot detection coils distributed in four quadrants. The first and third quadrant blind spot detection coils are connected to a first differential foreign object detection circuit; the second and fourth quadrant blind spot detection coils are connected to a second differential foreign object detection circuit. Both differential foreign object detection circuits are provided with differential amplifier circuits. One blind spot detection coil is connected to one input of the differential amplifier circuit via an overcompensated signal acquisition channel, while the other blind spot detection coil is connected to the other input of the differential amplifier circuit via an undercompensated signal acquisition channel. When the absolute value of the output voltage of the first differential foreign object detection circuit or / and the second differential foreign object detection circuit exceeds a preset threshold, a metal foreign object is detected. The effect is that the circuit can sensitively detect the entire area above the transmitting coil of the wireless charging system without any detection blind spots.

A blind spot inertia detecting and warning system comprises a blind spot detecting unit, an inertia detecting unit, a warning unit and a processing unit. The blind spot detection unit is used for sensing and generating at least one piece of moving object speed information corresponding to at least one moving object. The inertia detection unit is used for sensing and generating body angular velocity information, body velocity information and body acceleration information corresponding to the riding vehicle. The processing unit is used for generating collision notification information according to the speed information of the at least one moving object, the body angular velocity information, the body velocity information and the body acceleration information, and driving the warning unit to generate at least one of emergency warning audio and emergency warning light according to the collision notification information; therefore, people around can be reminded at the first time, and precious rescue time can be gained.

A blind spot detection control apparatus for a vehicle, configured for judging whether an object detected during a detection cycle in blind spot zone of the vehicle is an alert object, for outputting a result of judgement to a warning which warns a driver of vehicle that an object is present in blind spot zone based on judging that object detected in blind spot zone is an alert object, wherein apparatus is configured to judge whether an object detected in blind spot zone is an alert object by comparing detection parameters relating to a current target object detected in blind spot zone during a current detection cycle with detection parameters relating to a reference moving object corresponding to a target object detected in blind spot zone at least during a previous detection cycle.

The invention discloses a commercial vehicle turning blind area detection method and device, electronic equipment and a storage medium, and relates to the technical field of vehicle testing. The method comprises the following steps: acquiring a test steering wheel rotation angle of a test commercial vehicle and test operation videos of wheel centers of front and rear inner wheels in a turning process; identifying the test operation video to obtain test track data of wheel centers of front and rear inner wheels corresponding to the rotation angle of the test steering wheel; and based on the test track data of the wheel centers of the front and rear inner wheels corresponding to the test steering wheel rotation angle, generating a test turning blind area of the wheel centers of the front and rear inner wheels corresponding to the test steering wheel rotation angle, and determining a target turning blind area of the target commercial vehicle in the wheel centers of the front and rear inner wheels corresponding to the test steering wheel rotation angle. According to the technical scheme of the embodiment of the invention, the calculation amount of blind area detection in the vehicle turning process can be simplified, the efficiency of blind area detection in the vehicle turning process is improved, and the applicability of blind area detection in the vehicle turning process is improved.

The invention discloses an intelligent interactive answer data analysis and evaluation system, and relates to the technical field of data analysis, the system comprises a pre-examination preparation module, an after-examination arrangement module and an answerer file module, the pre-examination preparation module is used for marking knowledge points related to each option of a question when a questioner sets the question, and the questioner file module is used for recording the knowledge points related to each option of the question when the questioner sets the question; the after-examination arrangement module is used for recording and transverse comparative analysis after answers give answers and enabling the answers to give question solving thoughts for mastered questions, and the answers archive module is used for establishing personal knowledge point mastering degree archives of all the answers, carrying out probability calculation on which questions are mastered, and storing the probability calculation result in a database; the pre-examination preparation module comprises a question labeling module, an option labeling module and a knowledge point label establishing module, and the question labeling module and the option labeling module are electrically connected with the knowledge point label establishing module.

Techniques for object identification and accident prevention for vehicles in hazardous (e.g., low visibility) conditions are provided. In an example, a method comprises detecting, by a system onboard a vehicle comprising a processor, presence of vehicles and determining respective location, size, trajectory or speed of the detected vehicles. The method can further comprise detecting, by the system, presence of objects or pedestrians and determining respective location, size, trajectory or speed of the detected objects or pedestrians. The method can further comprise analyzing, by the system, the determined respective location, size, trajectory or speed of the detected vehicles, objects or pedestrians and predicting risk of collision. The method can further comprise issuing, by the system, a warning to the respective detected vehicles or pedestrians as a function of the predicted risk of collision.