63 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.

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 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 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 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.

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 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.

The invention discloses an ADAS self-adaption device and method compatible with a trailer, the device comprises an intelligent driving controller, an intelligent driving sensor, a pull controller and a trailer plug-in on a main vehicle, a trailer controller on the trailer is connected with the main vehicle through the trailer plug-in, and the intelligent driving sensor is used for collecting appearance information of the trailer; the trailer controller receives trailer appearance information through a trailer network; the trailer controller is used for collecting trailer braking information; the intelligent driving controller is used for adjusting the range and shape of a detection area of the blind spot detection radar according to the trailer appearance information; and establishing an integrated dynamic motion model according to the trailer braking information in combination with the dynamic model, and adjusting an intelligent driving control strategy according to the integrated dynamic motion model. According to the ADAS self-adaption device and method compatible with the trailer, when different trailers are connected, the trailer can be recognized in a self-adaption mode, the ADAS self-adaption device and method are fused into an intelligent driving system, the intelligent driving function with the trailer scene is provided, and the driving safety of a user is guaranteed.

The invention relates to automatic driving, in particular to a millimeter wave radar blind spot detection method based on deep reinforcement learning, and the method comprises the steps: detecting the target information of a vehicle blind spot region through transmitting and receiving millimeter wave signals; performing filtering, clustering and target tracking on the millimeter wave radar data to obtain target data of a blind spot area; based on the target data of the blind spot area, real-time decision making is carried out through an improved DQN algorithm, whether a dangerous situation exists or not is judged, and an optimal coping strategy is given; a driving alarm is provided or an automatic avoidance action is completed according to an output result of the improved DQN algorithm; according to the technical scheme provided by the invention, the defect that a real-time decision is difficult to make timely and accurately in a complex and changeable traffic scene in the prior art can be effectively overcome.

The invention provides a train curve area control system and method, a medium and equipment, and relates to the technical field of urban rail transit train operation control, and the system comprises a ground image recognition auxiliary device which is arranged at a rail curve and obtains and analyzes the rail occupation state and interval information at the rail curve in real time; and the vehicle-mounted control unit is used for receiving the track occupation state and the interval information transmitted by the ground image recognition auxiliary device, calculating the movement authorization of the train and controlling the train to run to pass through the curve area within a safe speed limiting range. According to the method, the blind spot detection problem that a train operation control system based on image recognition cannot recognize can be solved, the train can obtain the track occupation condition and the line condition behind the curve in advance, it is guaranteed that the train does not decelerate or stop, and the train safely passes through the curve area according to the specified speed limit and movement authorization; and the operation efficiency of the existing operation control system is improved.

A multimode radar device includes a central processing module, and an antenna module disposed in a middle area of the rear end of a vehicle and electrically connected with the central processing module. The central processing module has a motion determination switch unit, which has a low distance resolution mode and a high distance resolution mode. The motion determination switch unit detects the moving direction of the vehicle. When the vehicle moves forward, the antenna module operates in the low distance resolution mode. When the vehicle reverses, the antenna module operates in the high distance resolution mode. The present invention applies different distance-based resolution modes for blind spot detection and reverse radar detection, so as to fulfill the purpose and demand in different moving motion.

The invention relates to the technical field of pressure steel pipe elbow welding seam detection, in particular to a phased array detection method and device for a gradient angle welding seam of a water diversion pressure steel pipe elbow, and the method comprises the steps: building a target three-dimensional data model based on the geometric parameters of the gradient angle welding seam of a pressure steel pipe elbow section, according to the method, at least one target phased array detection process parameter is determined according to a gradient angle welding seam simulation test block, so that a phased array probe and a wedge block can be prepared, a tooling device is designed, a phased array ultrasonic detection system is established according to corresponding related parameters, and the system is optimized by utilizing the gradient angle welding seam simulation test block; the optimized phased array ultrasonic detection system is used for conducting phased array detection on the gradient angle welding seam of the water diversion pressure steel pipe, and a detection result is obtained. Therefore, the problems that non-blind area detection cannot be realized, the detection efficiency and accuracy of internal defects of the welding seam are reduced and the like due to the fact that a welding seam detection mode in the related technology is difficult to adapt to complex geometrical shapes and groove changes of the welding seam with the gradient angle are solved.

A blind spot detection device, including a rearview mirror, an electroluminescent quantum dot element, and a sealant layer. The rearview mirror has a groove and a light-transmitting area corresponding to the groove, and the electroluminescent quantum dot element is correspondingly disposed in the groove. The sealant layer is disposed between the electroluminescent quantum dot element and the rearview mirror.

The present invention relates to the integration of various sensors used in vehicles into a single sensor. The invention specifically relates to the development of a system using a single piece of equipment to enhance safety during reverse maneuvers through a precise rear-view alarm and parking assistance, hands-free trunk-opening (Radar Kick Sensor), blind spot detection (Blind Spot Detection BSD) to prevent accidents by detecting vehicles in the driver's blind spots, and a rear pre-crash warning system (Rear Pre-crash Warning System RPCW) that alerts the driver of possible rear-end collisions.

The application provides an intelligent vehicle path prediction system for automatic driving, comprising: a blind spot detection module, which is used for obtaining blind spot area information based on environment data collected by sensors of an automatic driving intelligent vehicle; a judgment module, which is used for judging whether a current driving path of the vehicle will pass through the blind spot area, and planning an avoidance path if yes; an avoidance path planning module, which is used for searching an avoidance path scheme for avoiding the blind spot area in a drivable area of the vehicle based on the blind spot area information; a path optimization module, which is used for optimizing the avoidance path scheme to obtain an optimal path; and a path prediction module, which is used for obtaining a local motion trajectory and speed planning of the vehicle based on the optimal path, and completing intelligent vehicle path prediction. The application effectively solves the problems of blind spot avoidance and path prediction planning of an automatic driving vehicle in a complex environment, improves driving safety and energy efficiency, and provides reliable technical support for the application of automatic driving technology in an actual road environment.

The invention discloses a blind spot detection method and system and a vehicle lamp, and particularly relates to the technical field of blind spot detection, and the system comprises a vehicle blind spot detection control module, a vehicle blind spot data collection module, an angle adjustment module, a target recognition and positioning module, a target collision risk analysis module, and a target movement risk assessment module. The blind spot warning effect is achieved by wirelessly sending a warning signal and controlling detection, so that the complexity of wiring is avoided, the construction complexity and labor consumption are effectively reduced, the coverage degree and definition of data are evaluated and compared with preset values through the laser radar and the camera integrated in the vehicle lamp, the angle is adjusted, and the blind spot warning effect is achieved. The laser radar and the camera can quickly cover the blind area, the detection range is optimized, the spatial deviation value of target object positioning is calculated, the target positioning precision is monitored, the positioning accuracy and precision are effectively improved, the quantification and precise evaluation of the collision risk are realized through the calculation of the collision risk coefficient, and the driving safety is improved.