109results about How to "Reduce collision accidents" patented technology

The invention discloses an intelligent detection system for a distribution profile and a position of a container. The intelligent detection system comprises a central control system, a three-dimensional laser scanning module, a target profile processing module and an ARMG (Automated Rail Mounted Gantry Crane) movement controller. Meanwhile, the invention discloses a method for detecting the distribution profile and the position of the container by using the intelligent detection system. The method is high in detection speed and high in detection precision by adopting three-dimensional space laser scanning, and overcomes the basic defect of conventional laser single-point scanning or line scanning. A generated container locating position error signal is output to the ARMG movement controller to automatically control movement mechanisms such as a lifting appliance, a trolley and a cart of an ARMG, and thus the accurate control on stacking and grabbing the container by the ARMG is realized; the generated container locating position error signal can be also output to a central monitoring system of an intelligent wharf for remotely monitoring the process of loading or unloading the container by the ARMG. According to the intelligent detection system and method, the accurate container alignment and the container collision in the process of loading or unloading the container are realized, the efficiency of loading or unloading the container is improved, and the accident of collision caused during the loading or the unloading of the container is reduced.

The invention discloses a tower crane anti-collision early warning system based on an ultrasonic sensing network and a method thereof. A multi-ultrasonic sensor fusion technology is adopted for monitoring surrounding obstacles of the tower crane, collision early warning information of the tower crane is acquired by positioning and identification of the obstacles, prediction of tracks and calculation of existing ultrasonic map data anti-collision model, and possible collision state is notified to the driver of the tower crane in time. The system comprises a main controller module and an ultrasonic monitoring point module which communicate with each other in a wireless network form, and the ultrasonic monitoring point module adopts an ultrasonic sensor for monitoring the surrounding obstacles of the tower crane. The system and the method solve the difficult problem of tower crane active anti-collision monitoring, and are characterized by strong anti-jamming capability, good real-time and easy-to-use, thus effectively reducing the labor intensity of the driver of the tower crane, improving the anti-collision monitoring level of the tower crane, reducing the occurrence of tower crane collision accidents, and leading the tower crane to run safely and efficiently.

The invention discloses a construction road pedestrian and vehicle collision avoidance early warning system based on vehicle-road collaboration and a construction road pedestrian and vehicle collisionavoidance early warning method based on vehicle-road collaboration. The system comprises a pedestrian information acquisition module which is used for acquiring the pedestrian position information and the pedestrian speed information, an occlusion position information acquisition module which is used for acquiring the occlusion position information, a collision avoidance information processing module which is used for judging transmitting of the early warning information according to the pedestrian position information, the pedestrian speed information, the collision avoidance information, the vehicle position information and the vehicle speed information, and a vehicle-mounted control module which is used for acquiring the vehicle information and receiving the early warning information.A driver blind area range model is constructed according to the pedestrian position information, the speed information, the occlusion position information and the vehicle position and speed information so as to determine whether the pedestrian is in the driver blind area range and judge transmitting of the early warning information. The pedestrian passing early warning information is provided forthe vehicle passing the road construction area so that the traffic accident caused by driver sight shielding can be avoided and the traffic safety can be enhanced.

Provided are a method and a system for transmitting and receiving a warning message that rapidly inform an adjacent hop of a dangerous situation that occurs on a road. The method for transmitting the warning message includes selecting one or more relay vehicles by using distances between vehicles and state information of the vehicles when the dangerous situation occurs on a road or outside, and increasing a warning message sequence number and generating and transmitting a warning message containing an identifier of the relay vehicle and a retransmission time.

The invention discloses an intelligent networked four-wheel independent steering and independent driving electric vehicle emergency obstacle avoidance system, and aims to improve the obstacle avoidance capability of the electric vehicle by utilizing a vehicle-to-vehicle interaction technology. According to the obstacle avoidance system, different obstacle avoidance modes can be switched according to the risk degree of collision between the vehicle and a front obstacle under three conditions, namely normal functions, partial function obstacles and function failure, of the vehicle-to-vehicle interaction module carried by the vehicle. The vehicle can receive motion information of other vehicles through the vehicle-to-vehicle interaction module so as to make a more reasonable obstacle avoidance decision; other vehicles can also receive warning information sent by the vehicle, and favorable conditions are created for obstacle avoidance of the vehicle. Particularly, under the emergency condition that the vehicle cannot avoid collision through braking measures, the emergency obstacle avoidance system receives path planning information of other vehicles through the vehicle-to-vehicle interaction module, and judges whether the possibility of lane changing obstacle avoidance exists through a decision module, so that the collision risk is further reduced.

The invention discloses a tower crane monitoring and early warning method and system, and a tower crane. The method comprises the following steps of: respectively obtaining images of obstacles, acquired by first imaging equipment and second imaging equipment, wherein both the first imaging equipment and the second imaging equipment are positioned on a tower arm of the tower crane; determining the distances between the obstacles and the tower arm of the tower crane according to the images and the position relation information between the first imaging equipment and the second imaging equipment; and initiating an alarm under the situation that the distances are smaller than a preset threshold value. According to the tower crane monitoring and early warning method, the system and the tower crane, the images of the obstacles are acquired by the two imaging equipment to determine the distances between the obstacles and the tower arm of the tower crane so as to monitor whether the tower arm and a lifting hook are collided with the obstacles. As the tower crane is monitored from the obstacles, the collision monitoring level of the tower crane is improved, and the occurrence of tower crane collision accidents is reduced, so that the tower crane safely and efficiently runs.

The invention discloses a control method of an intelligent vehicle. The control method of the intelligent vehicle comprises the steps of obtaining vehicle information and vehicle front obstacle information, and judging whether or not the vehicle can be avoided from colliding with a first obstacle nearest to the vehicle according to the vehicle information and the vehicle front obstacle information; if the vehicle cannot be avoided from colliding with the first obstacle, judging whether or not other obstacles exist at the left side and the right side of the first obstacle according to the vehicle front obstacle information; if other obstacles exist in both the left side and the right side of the first obstacle, correspondingly controlling the vehicle according to the vehicle front obstacleinformation. The invention further discloses the intelligent vehicle, a control device and system of the intelligent vehicle and a computer storage medium. By means of the intelligent vehicle, the control method, device and system thereof and the computer storage medium, it can be achieved that the collision loss of the vehicle is reduced when the vehicle cannot be avoided from colliding with other obstacles.

The invention discloses a ship collision avoidance method and system and a storage medium, and the method comprises the following steps: obtaining first information of a current ship and a plurality of target ships, the first information comprising speed information, relative distance, position information and course information; analyzing the meeting state of the current ship according to the first information; drawing a ship collision risk graph according to the meeting state; and determining a plurality of safe navigational speeds and a plurality of safe navigational directions of the current ship according to the collision risk graph. According to the invention, the meeting state of the current ship is analyzed according to the obtained first information, the ship collision risk graphis drawn according to the meeting state, and then the plurality of safety navigational speeds and the plurality of safety navigational directions of the current ship are determined according to the collision risk graph, so that a ship driver can select navigational speeds and navigational directions of various collision avoidance operations at the same time, and the occurrence probability of shipcollision accidents is effectively reduced to a certain extent. The method can be widely applied to the technical field of ship navigation safety.

The invention discloses a blind area monitoring method and device, equipment and a medium. The field angle of a first blind area monitoring camera and the field angle of a second blind area monitoring camera in the blind area monitoring device are both 150 degrees, and the pitch angles relative to a vehicle body are both located in a preset range, so that the shot blind area image takes the edge line of the vehicle body as the corresponding edge, and when the vehicle is a head-body separation type vehicle, the first blind area monitoring camera and the second blind area monitoring camera are both installed on a vehicle head of the vehicle, and the installation height of the first blind area monitoring camera and the installation height of the second blind area monitoring camera are lower than or equal to the installation height of rearview mirrors of the vehicle and higher than the preset height. When the vehicle is a head-body integrated vehicle, the first blind area monitoring camera and the second blind area monitoring camera are installed in the middle of a vehicle body on the corresponding side of the vehicle, and the installation height is higher than the upper edge of a vehicle window of the vehicle. According to the method provided by the embodiment of the invention, the applicability of the blind area monitoring device to different vehicle types is improved while a relatively large blind area monitoring range is ensured.

The invention relates to a deviation-preventing controller for a tyre crane, comprising a first GNSS receiver and a second GNSS receiver, an embedded processor and a PLC; wherein the antenna of the first GNSS receiver and the second GNSS receiver are installed at a power supply room side or a power room side of a RTG cart for respectively outputting first GNSS information and second GNSS information, the embedded processor is used for calculating first horizontal distance and second horizontal distance the first GNSS receiver and the second GNSS receiver deviate from a track datum line according to the first GNSS information and the second GNSS information, the PLC is used for adjusting proceeding direction of the RTG cart according to the first horizontal distance and the second horizontal distance. With the deviation-preventing controller adopted, automatic deviation correction can be carried out on proceeding path of the cart, so that labor intensity of cart drivers can be greatly reduced, wharf working efficiency is improved and the number of collision accidents is also reduced.

The object of the present invention is to provide a vehicle front structure which can efficiently absorb collision energy regardless of collision modes. In the vehicle front structure of the present invention, a load transmission member arranged on inner side faces of a front corner part of a subframe has a load transmission member male attached to a front frame and a load transmission member female attached to a side frame. In a collision mode where a local load is fed to the front frame, the load transmission member male and load transmission member female engage with each other, whereby the front frame is restrained from rotating in such a direction as to approach the side frame, while the fed collision load is transmitted to the side frame through the load transmission member. In a collision mode where a collision load is fed onto an axis of the side frame, on the other hand, the load transmission member male and load transmission member female separate from each other, whereby the load transmission through the load transmission member is blocked.

The invention discloses a slope sliding prevention structure with a warning function. The deceleration strip comprises a first deceleration strip body, a second deceleration strip body and a slope used for installing the first deceleration strip body and the second deceleration strip body. A plurality of first grooves and a plurality of second grooves are formed in the slope; the first deceleration strip is arranged in the first groove in a sliding and sealing manner; the bottom of the first groove and the first deceleration strip are directly and fixedly connected with a plurality of first buffer assemblies; an air inlet hole communicated with the first groove is formed in the side wall of the first deceleration strip; a first one-way pressure valve is installed in the air inlet hole, thesecond deceleration strip is arranged in the second groove in a sliding and sealing mode, a plurality of second buffer assemblies are fixedly connected between the bottom of the second groove and thesecond deceleration strip, an air guide pipe communicated with the second groove is arranged on the second deceleration strip in a penetrating mode, and a second one-way pressure valve is installed in the air guide pipe. The vehicle anti-slip device can effectively improve the anti-slip effect of an vehicle when the vehicle goes uphill, and also has a certain warning effect.

The invention discloses a rail transit obstacle detection method based on deep learning. The rail transit obstacle detection method comprises the following steps: screening out a part containing an obstacle according to a video stored by a vehicle-mounted camera when a train runs; making the video containing the obstacle part into a plurality of images; expanding the number of images by using a data enhancement method; and dividing a region of interest on an image, wherein a detection range is set near a track. As a YOLOv4 network is not sensitive to small object detection, a D-CSPDarknet feature extraction network is designed, the problem of gradient disappearance is effectively solved, and the purpose of feature reuse is achieved. In combination with a new feature fusion network provided with three feature pyramid pooling modules, a complete Improved-YOLOv4 obstacle detection model is formed. The model is trained by using previously made data to obtain a weight file for detection. An obstacle is detected by the weight file. Real-time detection of the obstacle in front of a train can be achieved, along with continuous expansion of data collected by the train camera, the detection precision is improved accordingly, the installation cost is low, and the efficiency is high.

The embodiment of the invention discloses an unmanned carrying vehicle scheduling method, a scheduling system and a storage medium. At least a first scheduling waiting area and a second scheduling waiting area are arranged on a transportation route between a departure place and a destination. The method comprises the steps: acquiring a departure request message sent by a to-be-dispatched carryingvehicle reaching a first dispatching waiting area and/or a second dispatching waiting area, wherein the departure request message carries carrying vehicle identification information, current carryingstate information and position information; obtaining a driving state message sent by each carrying vehicle on the transportation route, wherein the driving state message carries the carrying vehicleidentification information, the current carrying state information, the operation state information and the position information; according to the departure request message and the driving state message, determining a matched driving path track and sending a scheduling instruction to the corresponding to-be-scheduled carrying vehicle; or determining an unmatched driving path track and sending a scheduling waiting instruction to the corresponding to-be-scheduled carrying vehicle.

The invention discloses a multi-strategy rail transit obstacle recognition method based on a laser radar. The method comprises the steps: scanning, by a laser radar, the train operation environment data acquisition in real time in an actual train operation environment, wherein the obtained point cloud samples are used for establishing a point cloud data set of obstacles in front of a train; performing sampling filtering on the point cloud by using a VoxelGrid voxel filtering method; creating a new point cloud container, traversing the filtered point clouds, and storing the point clouds according to the distance; performing ground segmentation on indoor and outdoor rail transit train operation scenes by using different strategies, performing preliminary extraction on a rail region in the segmentation process, and finally performing accurate limitation on the extracted rail region and performing fitting by using a space curve; and performing multi-strategy obstacle detection according to different distances, and performing regional identification and screening based on multiple strategies of the distances, thereby obtaining a screening result. According to the invention, real-time detection of obstacles in front of the train can be realized, high-precision detection is carried out in a real scene in the whole experiment, and debugging is easy.

The invention discloses a safety sensing bicycle which comprises a bicycle body. The bicycle body is provided with a safety sensing apparatus which comprises a power supply, a supersonic wave sensing apparatus electrically connected with the power supply, a safety sensing processor and an alarm device, wherein the supersonic wave sensing apparatus which is directly opposite to the back of the bicycle body and installed on the bicycle body, emits supersonic waves and receives supersonic waves reflected; the supersonic wave sensing apparatus and the alarm device are both electrically connected with the safety sensing processor. The wave supersonic sensing apparatus emits supersonic waves and receives supersonic waves reflected; in dependence on time differences of the supersonic waves emitted and received, the safety sensing processor calculates distances between a bicycle and rear vehicles and determines whether the distances are less than a predetermined distance; if the distances are less than a predetermined distance, the safety sensing processor will start the alarm device to give out an alarm, which can remind cyclists to be alert and minimize bicycle collision accidents.

The invention relates to a semi-automatic loading and unloading bridge with a route planning algorithm. The loading and unloading bridge comprises a supporting frame, a remote control unit device, a shore laser radar visual recognition device, an electronic anti-swing device, a cart wireless locating device, a ground control server and an onboard PLC motion control system. The cart wireless locating device and the electronic anti-swing device are arranged on the supporting frame. The shore laser radar visual recognition device is arranged below the supporting frame. The loading and unloading bridge further comprises electric clamp forceps, a trolley position encoder and a lifting height encoder. The electric clamp forceps are arranged below a balance beam lifting hook. The trolley positionencoder and the lifting height encoder are arranged above the supporting frame. By means of the scheme, the semi-automatic loading and unloading bridge has the functions of route memorizing, automatic recognition to car types and plate coil coordinates and automatic plate coil clamping.

The invention disclose a vehicle-mounted Beidou navigation terminal and a vehicle-mounted Beidou navigation system both having an urban traffic guidance function. The vehicle-mounted Beidou navigation system comprises an Internet-of-vehicles server for providing information services for vehicle navigation, the vehicle-mounted Beidou navigation terminal for communicating with the Internet-of-vehicles server by use of GSM/2G/3G/4G, an urban intelligent traffic system, and an urban intelligent traffic system monitoring platform, an urban intelligent traffic guidance information distribution server and a regional information server, wherein the urban intelligent traffic system monitoring platform is connected with the urban intelligent traffic guidance information distribution server and the regional information server, respectively; the regional information server communicated with the vehicle-mounted Beidou navigation terminal by use of DSRC/WiMax; the urban intelligent traffic guidance information distribution server is connected with the Internet-of-vehicles server.

The invention discloses a networked vehicle cooperative collision avoidance early warning system and method in a signal-control-free intersection environment, and the system obtains the information of vehicles in a radiation range and a vertical lane thereof through a vehicle-to-vehicle communication technology, shares the information of the vehicles, and takes the time when the vehicles arrive at an intersection at the same time as the vehicle-to-vehicle pre-judgment information. If the absolute value of the time difference of the two vehicles arriving at the same intersection is smaller than a set threshold value, and the ratio of the distance between the vehicles and the intersection to the calculated safe distance is smaller than 1.6, the man-machine interaction module gives an early warning to a driver. According to the invention, other vehicles in the surrounding environment can be sensed, so that whether collision occurs can be judged according to the driving state. A driver can take corresponding measures according to the prompt of the collision avoidance early warning system so as to avoid collision, the cooperative intersection collision early warning realized by using the vehicle-vehicle communication technology can effectively reduce the occurrence of collision accidents at the non-signal-control intersection, and the road traffic safety is improved.