22 results about "Blind spot detection" patented technology

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).

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.

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 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 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.

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.

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.

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.

This invention belongs to the field of endoscopy technology, specifically an endoscopy image blind spot detection and 3D reconstruction system, including an endoscopy imaging module, a posture perception module, a blind spot dynamic detection module, a reliable completion module, and a 3D surface reconstruction module. It constructs a visible volume model through ray projection to identify blind spots, integrates prior knowledge of cavity anatomy with Poisson surface interpolation for reliable completion, and combines a topological rationality discriminator and photometric consistency feedback to achieve dual verification, ultimately generating a complete and geometrically consistent 3D model.

The application relates to the technical field of document analysis, and provides a document review blind area detection method and device, electronic equipment and a storage medium, the method comprising the following steps: performing semantic unit division on a target document to be reviewed, and constructing a semantic topology structure based on logical dependency relationships between the semantic units obtained through the division; performing traversal mapping in a regulation knowledge graph based on the semantic topology structure, obtaining a specification node set that should be met by the target document, and generating a theoretical review path according to the specification node set; obtaining specification nodes actually triggered by the target document in a review process, forming an actual review path; calculating a difference set between the theoretical review path and the actual review path, and taking the difference set as a review blind area of the target document. Through difference analysis of the theoretical review path and the actual review path, implicit risks such as rule mismatching, missing of a review path or semantic mapping failure can be identified, so that effective evaluation of the completeness of document review coverage is realized.

A modular vehicle lamp having a blind spot detection function includes a vehicle lamp body and a blind spot detector disposed in the vehicle lamp body. The blind spot detector includes a radar detection unit and a wireless transmitting unit coupled to the radar detection unit. The radar detection unit transmits a radar detection signal to detect whether or not a moving object is present in a blind spot area of a vehicle. When the radar detection unit detects that the moving object is present in the blind spot area, the wireless transmitting unit wirelessly transmits a warning signal to an alarm of the vehicle. Accordingly, complex wiring and labor costs can be omitted.

The invention discloses a modular vehicle lamp with a blind spot detection function. The modular vehicle lamp comprises a vehicle lamp body and a blind spot detector. The blind spot detector is arranged in the vehicle lamp body. The blind spot detector comprises a radar detection unit and a wireless transmission unit. The radar detection unit emits a radar detection signal to detect whether a moving object exists in a blind spot area of the vehicle. The wireless sending unit is coupled with the radar detection unit, and when the radar detection unit detects that the moving object exists in the blind spot area, a warning signal is sent to a warning indicator of the vehicle in a wireless mode, and therefore wiring complexity and labor consumption can be avoided.

The present application relates to a radar sensor with a wide field of view. A millimeter wave radar sensor module is proposed with a specific architecture that enables a 180-degree field of view (FoV) to be achieved at an affordable system cost. The proposed millimeter wave radar sensor module is used in passenger cars, commercial vehicles, autonomous guided vehicles (AGV), as well as motorcycles and bicycles, thereby enabling a variety of application features: intelligent parking assistance, replacement for PDC sensors, determination of the distance, speed, and angle of targets, including their tracking, person detection, person tracking, tailgate and door protection by limit opening, gesture and kick sensing, and other applications. In the case of two- and three-wheeled vehicles, the same device can also cover blind spot detection applications in an affordable system manner.

The application relates to a kind of vehicle blind spot detection method and system based on ultrasonic sensor, it relates to vehicle driving environment perception technical field, it includes the detection range of ultrasonic sensor in the periphery of vehicle is divided into several windows according to distance, obtains the echo data of the ultrasonic sensor;The echo data is preprocessed to obtain feature information, and the type of obstacle corresponding to the echo data is distinguished based on the feature information;The feature point of the obstacle in the window is calculated;According to the current motion characteristics of vehicle, the window and position of the feature point after vehicle movement are predicted;Based on the window and position of the feature point after vehicle movement, the object position around the vehicle body is identified.The application has the effect that vehicle blind spot detection function is realized only through ultrasonic sensor.

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 invention discloses a defense strategy blind spot detection method and a defense strategy blind spot detection system based on a combination grouping test, which are characterized in that a combination test theory and a diagnosis model are deeply integrated into an attack simulation system (BAS), the number of test cases is compressed to a minimum and controllable scale, and the comprehensive combination test efficiency of the BAS is improved; secondly, in the aspect of vulnerability discovery capability, systematic coverage of complex blind spots caused by interaction is guaranteed, and combined security vulnerabilities which are hidden deeper are discovered more reliably and more efficiently; according to the method, the factor combination causing defense failure can be accurately positioned, the manual analysis and debugging time is greatly shortened, accurate repair guidance is provided for a security team, and the automation level and the operation efficiency of the whole security verification and response process are remarkably improved.

Blind spot detection system for a vehicle (102, 202), comprising: an optical sensor arrangement (124) configured to acquire data which, while the vehicle (102, 202) is moving, indicates objects along the vehicle (102, 202) and, while the vehicle (102, 202) is stopped, indicates an expected third-row passenger (206, 208) before the passenger (206, 208) enters the vehicle (102, 202); and at least one control unit configured to move a second-row seat into a driving position based on the anthropometric characteristics of the passenger (206, 208) derived from the data, wherein the at least one control unit is further configured to unfold a third-row seat while the vehicle (102, 202) is stopped.

A full display mirror assembly with a blind spot detection system includes: an electro-optic assembly including an electro-optic medium; a display module; and at least one imager module configured to capture a blind spot. And a memory storing image data captured by the at least one imager module, in which the processor is configured to generate a first warning flag when presence of an object is detected in the blind spots and no detection is detected that the vehicle is turning a blind spot with the object, and the processor is configured to generate a second warning flag when the presence of the object is detected in the blind spots and the vehicle is turning a blind spot with the object. The processor is configured to generate a second warning flag when the presence of an object is detected in the blind spots and also it is detected that the vehicle is turning a blind spot with the object.