199results about How to "Avoid collision risk" patented technology

The invention discloses a route planning method and device for an unmanned aerial vehicle, and electronic equipment, and relates to the technical field of unmanned aerial vehicles. When multi-machinetasks are executed, the collision risk of the unmanned aerial vehicle can be reduced and the working efficiency of the unmanned aerial vehicle can be improved. The method comprises the following stepsof acquiring land parcel information of a to-be-operated land parcel and position information of a current take-off point of the unmanned aerial vehicle; analyzing the land parcel information to obtain track point attribute information; dividing a task needing to be executed in the to-be-operated land parcel of the unmanned aerial vehicle into at least one subtask according to the track point attribute information, the position information of the take-off point and the flight mileage of one flight of the unmanned aerial vehicle at the current electric quantity; and respectively planning routeinformation of the unmanned aerial vehicle for executing each subtask to come and go the to-be-operated land parcel correspondingly according to the position information of the take-off point. The route planning method and device for the unmanned aerial vehicle, and the electronic equipment are suitable for route planning of the unmanned aerial vehicle.

This lateral maneuverability map shows the area of movement of a vehicle with the contours of the regions of complete freedom of lateral movement. It is generated from a distance map listing the distances of the points of its regions that can be negotiated by the vehicle to the regions to be circumvented. It may show the area of movement of the vehicle in the form of a subdivision into at least three types of region, namely a first type corresponding to regions to be circumvented, a second type corresponding to bands surrounding the regions to be circumvented and having the width of a maneuvering space arbitrarily considered as necessary for free lateral movement of the vehicle, and a third type of region corresponding to regions of free lateral movement. In the case of an aircraft, said map may be superimposed on the map of a TAWS system in order to specify to the pilot if he has complete freedom of lateral movement or not.

In an integral brake system having antilock braking and including at least one brake actuating element, one front wheel brake, and one rear wheel brake, the antilock braking may optionally be selectively deactivated for the front wheel brake.

The invention discloses a safety cooperation method and device based on man-machine integration. The safety cooperation method based on the man-machine integration comprises the following steps that tail end coordinate position information and motion information of a robot are acquired; an operation space safety level dynamic programming model is established on the basis of the tail end coordinateposition information and the motion information, and the operation space is divided into sub-operation space areas with different safety levels; a cooperation scene image is acquired on the basis ofa visual perception system, and three-dimensional coordinate information of an operator is acquired through a target detection algorithm; personnel motion information is obtained based on the three-dimensional coordinate information of the operator based on consecutive frame image sequences, and a man-machine dynamic equivalent distance is calculated; and based on the man-machine dynamic equivalent distance and sub-operation space areas of different safety levels dynamically planned for the robot operation space, a man-machine cooperation collision risk is predicted, and a corresponding control instruction is formulated to carry out the safety control on the robot. The accuracy of the man-machine cooperation collision prediction is improved, the occurrence rates of man-machine collision accidents can be reduced, and the man-machine integration development is promoted.

The invention provides a laser radar obstacle recognition method and device. The method comprises the following steps that information of to-be-recognized obstacles of continuous N+1 frames around anunmanned vehicle is obtained through laser radar scanning; whether the to-be-recognized obstacle in the (N+1)th frame enters a laser radar blind area or not is judged; an obstacle laser point cloud ofthe to-be-recognized obstacle in the Nth frame is cut off according to the length of the to-be-recognized obstacles entering the laser radar blind area; according to the cut-off laser point cloud ofthe to-be-recognized obstacle, the laser point cloud of the to-be-recognized obstacle in the (N+1)th frame is matched; completion is carried out on the laser point cloud of the to-be-recognized obstacle in the (N+1)th frame; and obstacle recognition is carried out according to the completed laser point cloud of the to-be-recognized obstacle. According to the method and device, a part of the obstacles entering the laser radar blind area can be recognized, so that the collision risk caused by error recognition of lengths and distances of the obstacles is avoided, and the driving safety of the unmanned vehicle is effectively improved.

A particle beam device and a sample receptacle apparatus, which has a sample holder, are disclosed. The sample holder is arranged in a movable fashion along at least a first axis and along at least a second axis. Furthermore, the sample holder is arranged in a rotatable fashion about a first axis of rotation and about a second axis of rotation. A first sample holding device is arranged relative to the sample holder in a rotatable fashion about a third axis of rotation, in which the third axis of rotation and the second axis of rotation are at least in part arranged laterally offset with respect to one another. Furthermore, a control apparatus is provided, in which the first sample holding device is rotatable about the third axis of rotation into an analysis position and/or treating position using the control apparatus.

A flight plan revision device may include a first component that determines an auxiliary flight plan corresponding to a lateral revision of the current flight plan, at least over a low altitude flight section. A second component automatically determines at least one decision point indicating the last position of the aircraft along the current flight plan where the auxiliary flight plan can still be activated, so as to allow the aircraft to overfly the terrain in complete safety by following the auxiliary flight plan under the same flight conditions as those envisaged for the current flight plan. A third component automatically presents at least the decision point to a pilot of the aircraft. And a fourth actuatable component allows a pilot to activate the auxiliary flight plan, so as to carry out the lateral revision of the current flight plan.

The invention discloses an obstacle avoidance method for a mowing robot based on an improved artificial potential field method, which comprises the following steps: S1, the positions of a starting point and a target point of a mowing robot are set, a gravitation potential field gain coefficient and a repulsion potential field gain coefficient are set, and a surrounding environment model of a mowing robot is built; S2, a gravitation potential field function is improved; S3, a repulsion potential field function is improved; S5, the magnitudes and directions of the gravitation and each repulsionborne by the mowing robot are calculated, the components of the gravitation and the repulsions in the horizontal and vertical directions are calculated, and the magnitude and direction of the total potential field force borne by the mowing robot are calculated; and S6, the mowing robot moves to the target point under the action of the total potential field force of the improved artificial potential field method, and the coordinates of the mowing robot are updated to obtain a planned path of the mowing robot. According to the invention, the mowing robot can operate safely, stably and efficiently, and the practicability of the improved obstacle avoidance method is improved.

The invention discloses an intelligent driving vehicle test method and device and equipment, and belongs to the technical field of intelligent driving, and the method comprises the steps: responding to a test instruction for testing a to-be-tested vehicle, the test instruction comprising a test mode; if the test mode is a virtual target mode, obtaining virtual target parameters from the test instruction; constructing at least one virtual target according to the virtual target parameters; acquiring road environment information of the driving road of the to-be-tested vehicle; and performing planning decision based on the road environment information and the at least one virtual target, and controlling the motion of the to-be-tested vehicle. According to the method, a vehicle is tested by constructing a virtual target, so that the time cost and the resource cost consumed in the preparation process before the test can be reduced.

The invention provides a vehicle door-opening pre-warning system and a control method, and relates to the field of vehicles. The pre-warning system comprises a vehicle speed collecting module, a target exploring module, a vehicle block state collecting module, a vehicle body control module, an alarming device and a vehicle lock executing module; the vehicle speed collecting module is used for collecting the speed information of a vehicle and transmitting the speed information to the vehicle body control module; the target exploring module is used for collecting the target information in the rear of the vehicle and transmitting the target information to the vehicle body control module; the vehicle block state collecting module is used for collecting the vehicle lock open-close state information and transmitting the vehicle lock open-close state information to the vehicle body control module; the vehicle body control module is used for receiving and processing the speed information, the target information and the open-close state information, and sending a control signal to the alarming device or the vehicle lock executing module according to a processed result; the alarming device is used for receiving the control signal and sending an alarming signal according to the control signal; and the vehicle lock executing module is used for receiving the control signal and controlling opening and closing of a vehicle lock according to the control signal. The vehicle door-opening pre-warming system and the control method effectively reduce even avoid risks of collision occurrence when passengers or a driver opens a vehicle door without simply depending on the subjective consciousness, and have good reliability.

The invention discloses a non-key entering and one-button starting system for a crane and a control method. The non-key entering and one-button starting system for the crane comprises a PEPS controller, a BCM controller, a one-button starting assembly, an alarming unit, an indoor antenna and an intelligent key. The one-button starting assembly is further connected with an engine ECU. In conclusion, the non-key entering and one-button starting system for the crane is better in safety and obvious in effect, a driver completely does not need to use a key to open a door lock when entering and leaving a cab, and does not need to use the key to rotate an ignition lock cylinder in the starting and shutting-down process of the engine, operation is easy, and the driving and riding comfort is obviously improved. In addition, in the running process of the crane, the risk that knees of the driver are crashed with a mechanical key is completely avoided. What's more, through bi-directional communication between a low frequency and a high frequency, complex double-way identity authentication between the wheel crane and the intelligent key can be completed, and the safety property is obviously improved.

The invention discloses a fully automatic edge sealing and punching production line of a sheet material and a production method. The fully automatic edge sealing and punching production line of the sheet material and the production method are characterized in that an automatic feeding system, an edge sealing system, an automatic punching line drilling system, a power transmission system and judgment control systems are included; the automatic feeding system and the edge sealing system are connected through the power transmission system; the judgment control systems include at least an edge-sealing state judgment control subsystem and a cache judgment control subsystem; the edge-sealing state judgment control subsystem is used for judging whether edge-sealing is completed or not; if the edge-sealing is not completed, the sheet material is automatically conveyed to a feeding area of the automatic feeding system; if the edge-sealing is completed, a cache judgment is carried out; and the cache judgment control subsystem is used for judging whether the sheet material needs to be cached or not, and when the sheet material does not need to be cached, the sheet material is automatically conveyed to through-type automatic punching line drilling equipment of the automatic punching line drilling system for punching machining. The technology of automatic edge sealing, punching non-fallingof the sheet material is realized, the production capacity is 10 pieces/minute, and the labor cost input is greatly saved.

The invention discloses a roadside parking space sensing method and system based on a vehicle-mounted camera. The roadside parking space sensing method comprises the following steps that a collectionmodule collects a rear vehicle image and inputs the rear vehicle image into an identification module, and the identification module carries out the identification of the rear vehicle image based on adeep learning method, outputs the pixel coordinates of a wheel, and transmits the pixel coordinates to a computer vision module; and the computer vision module converts the pixel coordinates into world coordinates and draws a reference line and a reference vehicle frame, inputs the reference vehicle frame into a detection module, judges whether parking can be carried out or not through rough detection and fine detection, and marks a parking space frame. The roadside parking space sensing method has the advantages that based on the vehicle-mounted camera, deep learning and computer vision are adopted to identify roadside parking spaces, and obstacles, especially low or small obstacles, in idle parking spaces can be accurately detected, and safety is improved.

The invention discloses an anti-collision method of a storage yard stacker-reclaimer and a material pile, and belongs to an unmanned automatic control system of a stacker-reclaimer. According to the method, a 3D scanner is used for scanning the material pile, three-dimensional point cloud data of the material pile are obtained, and then coordinate transformation is carried out, a three-dimensionalmodel of the material pile in the storage yard coordinate system is built, and the self-action of a large machine is carried out by utilizing the three-dimensional model of the storage yard to be operated. In the automatic operation process, a three-dimensional model of the adjacent material pile of the operating storage yard is obtained, and a three-dimensional attitude and a dynamic three-dimensional model of the single-machine space of the storage yard are calculated in real time. At a certain walking position and a pitching angle, through the rotating and pitching angle of a large machinearm frame, the distance between the material pile point cloud data and the large machine arm frame is calculated by means of the anti-collision detecting method, the maximum rotation angle of the large machine arm frame is found, the risk of collision between the material pile and the large machine is effectively avoided, and the automatic material taking is safer and more efficient.

The invention discloses a locomotive-mounted railway obstacle intelligent detection and alarm system and an early warning method thereof. The locomotive-mounted railway obstacle intelligent detectionand alarm system is composed of a video acquisition system, a ranging system, a servo control system, a display screen, an information processing system and an alarm system. The early warning method of the locomotive-mounted railway obstacle intelligent detection and alarm system is carried out according to the following steps: starting the locomotive-mounted railway obstacle intelligent detectionand alarm system; the information processing system loading the complete GPS information in the next stage and judging whether the loading is completed or not; after the loading is completed, runningthe GPS information of the current travel; calculating attitude control data associated with the servo control system and sending the attitude control data to the servo control system; clearing the GPS information for the current travel; and determining whether to turn off or not. The locomotive-mounted railway obstacle intelligent detection and alarm system and the early warning method thereof greatly improve the real-time early warning detection capability of a locomotive, and prevent the risk of collision between the running train and the obstacle.

The invention discloses an image recognition method for ensuring magnetic resonance scanning safety. The image recognition method for ensuring magnetic resonance scanning safety is characterized by comprising the following steps that A, a contour edge image of a bed for scanning magnetic resonance is acquired through an optical camera in advance, and a scanning safety area range is drawn; B, whena target is in place, an infrared camera is used for obtaining an infrared image of the detected object; C, the infrared image which is acquired by the infrared camera of the detected object is fusedwith the contour image which is acquired by the optical camera of the bed, edge pixel points of the detected object and edge pixel points of a bed body are identified by an edge detection algorithm, and whether the detected object is in the safety area range or not is determined by comparing the edge pixel points of the detected object with the edge pixel points of the bed body; and D, the bed iscontrolled to move or stop according to the judgment result of the step C. The method can effectively avoid the risk of collision between limbs of a patient and a magnet shell in the magnetic resonance scanning process and better ensure the inspection safety. The invention further discloses an image recognition system based on the method.

The invention discloses heat radiation equipment. The heat radiation equipment comprises a fan and a base, wherein the fan is composed of a set of blades arranged surrounding a rotary shaft. First sides of the set of blades are all fixedly connected with a first surface of a base plate. A first protruding structure is arranged on a second surface of the base plate. A second protruding structure is arranged on a first surface of the base. The fan is arranged on the base. The first protruding structure keeps a first distance away from the first surface of the base through supporting with the rotary shaft. When the rotary shaft is adjusted to a second position from a first position, the rotary shaft drives the fan to move towards a first direction, and the first distance between the first protruding structure and the first surface of the base is increased. When the rotary shaft is adjusted to the first position from the second position, the rotary shaft drives the fan to move towards a second direction, and the first distance between the first protruding structure and the first surface of the base is decreased.