157 results about "Collision avoidance system" patented technology

The invention discloses a satellite collision avoidance system and method based on a satellite edge computing network. The system comprises a space monitoring network, a space traffic management subsystem and the satellite edge computing network. The space monitoring network is used for observing the running state of a space target to obtain multi-source observation data; the space traffic management subsystem is used for integrating the multi-source observation data to generate space target orbit data; the satellite edge computing network further comprises the steps that a GEO satellite broadcasts space target orbit data to an LEO satellite constellation and forwards collision risk screening information to a ground cloud computing center; the LEO satellite constellation calculates collision risk screening information according to the space target orbit data and formulates a collision avoidance control strategy; the LEO / GEO earth station is used for data transceiving and protocol conversion among the GEO satellite, the LEO satellite constellation and the cloud computing center; and the ground cloud computing center stores constellation orbit data through protocol conversion and satellite communication. According to the invention, the real-time performance of satellite collision avoidance is improved.

The invention provides a three-dimensional space collision avoidance system based on multiple tower cranes, and relates to the technical field of port hoisting operation, a three-dimensional voxel grid VoxelGrid space map is constructed, and the three-dimensional space collision avoidance system comprises a first horizontal coverage map, a second descending coverage map, a third fan-shaped area occupation map, a fourth track occupation area map and a fifth interference area map; the system can identify the space overlapping area of the tower crane operation path at the voxel level, breaks through the limitation of the traditional path planning method on the dimension and precision of space modeling, and enhances the fine granularity and accuracy of collision detection. A dynamic acquisition module and a dynamic interference module are introduced, dynamic disturbance caused by factors such as stormy waves and tides on a ship in a port operation environment can be sensed in real time, the deviation trend of the tail end of the lifting appliance is predicted, target correction and track compensation are carried out before track execution, and the situation that the lifting appliance is accidentally touched or falls off due to track drifting is effectively promoted to be reduced.

The invention relates to the technical field of distance measurement and collision avoidance, in particular to a crane distance measurement and collision avoidance system based on a wireless pulse technology, which comprises a node time slot allocation module for allocating a unique communication time slot to each UWB module, obtaining a communication time slot allocation table, and sending the communication time slot allocation table to the UWB module; and each crane broadcasts own ID, position, speed and target point information in the target communication time slot according to the communication time slot distribution table. According to the invention, the independent time slot is allocated to each communication unit, and the identification, position, speed and target point information of each communication unit is broadcasted in the specified time slot, so that the parallel acquisition and synchronous recording of the running states of a plurality of cranes can be realized, the information conflict is avoided, and the real-time performance is improved. In path management, a real-time state is compared with a shared working area boundary, a passage authorization sequence can be established by identifying path intersection points and conflict points and combining request timestamps and task priorities for sorting, and therefore ordered operation is achieved in a multi-device shared area.

A method for a collision avoidance system of a host marine vessel, and to updating vessel classifications and navigational statuses of marine vessels.

Techniques are disclosed for systems and methods to provide navigation control and / or docking assist for mobile structures. A navigation control system includes a logic device, one or more sensors, one or more actuators / controllers, and modules to interface with users, sensors, actuators, and / or other modules of a mobile structure. The logic device is configured to receive navigation control parameters from a user interface for the mobile structure and perimeter sensor data from a perimeter ranging system mounted to the mobile structure. The logic device determines navigation control signals based on the navigation control parameters and perimeter sensor data and provides the navigation control signals to a navigation control system for the mobile structure. Control signals may be displayed to a user and / or used to adjust a steering actuator, a propulsion system thrust, and / or other operational systems of the mobile structure.

Systems and methods for preventing collisions between robotic arms of a multi-arm surgical robotic systems and objects in a surgical field in are described. The positions and motions of the surgical robotic are tracked kinematically while the positions of the objects are tracked by a camera or other sensor held on a surveillance arm of the surgical robot. Each of the robotic surgical arms and the surveillance arm is mounted on a common chassis or cart to define a single surgical space coordinate system to facilitate tracking.

A smartphone marine vessel location system utilizes global positioning to determine the location and trajectory of marine vessels. When two marine vessels have a trajectory that will bring the vessels within a warning zone a trajectory alert is activated and when the two vessels enter into a warning zone, a collision warning is activated. An App on the smartphones may produce a display showing the location of the marine vessels and may produce the alerts when required. The smartphone may also communicate with other navigational system on the marine vessel to produce a display and alerts, such as through Bluetooth. The location of marine vessels may be acquired through the App, through a crowd-sourcing application, and / or through a carrier sourced location.

The invention discloses a forklift graded anti-collision system control method. The method comprises the following steps that 1, the distance between an obstacle in a forklift safety inspection area and a forklift is obtained; 2, the anti-collision grade is judged according to the distance between the obstacle and the forklift, and the closer the distance is, the higher the anti-collision grade is; 3, forklift anti-collision control is triggered according to the anti-collision grade judged in the step 2, pedestrians and non-human obstacles around the forklift can be recognized by arranging the camera and the radar, and then the protection grade is judged according to the distances between the different obstacles and the forklift; according to different protection grades, an alarm can be given out, the forklift and people and objects around the forklift can be protected by controlling the forklift speed, and meanwhile normal running of the forklift is not affected.

According to the device and method for preventing the automobile from being subjected to serial collision, when the automobile is collided in front in the driving process, an automobile collision plate is pressed to physically move backwards, an electric switch is triggered in the backward moving process of the automobile collision plate, and the electric switch is switched on to transmit voltage to a relay; the relay is powered on to transmit voltage to the electric push rod, the electric push rod is powered on to drive the brake pedal to press downwards through the brake cable, equivalently, a driver steps on the brake pedal with the foot, and therefore automobile braking is achieved, chain collision accidents of an automobile are prevented, or damage losses caused by collision are reduced. The method can be used as a main fool-type anti-collision technology for anti-collision of the intelligent automobile in the future and can also be used as a supplement of the current radar and visual anti-collision technology, and the driving safety performance of the automobile needs to be improved by overlapping a plurality of anti-collision technologies for the intelligent automobile in the future.

A vehicle collision avoidance system and method. The vehicle collision avoidance system includes an input unit configured to receive driving information of a host vehicle and driving information of a rear vehicle, a memory configured to store a program that calculates a collision risk level using the driving information of the host vehicle and the driving information of the rear vehicle, and a processor configured to execute the program, wherein the processor performs control to display visual information about the risk of collision upon a right or left lane change based on the collision risk level.

The invention relates to the technical field of multiple ship unloaders, in particular to an anti-collision system for combined operation of multiple ship unloaders, which comprises radar anti-collision modules arranged on a first walking mechanism, a first platform, a second walking mechanism and a second platform and used for detecting the distance from other objects in real time to obtain first detection data, the RFID tags are arranged on the screw ship unloader and the grab ship unloader, the radio frequency positioning units are arranged on the first walking mechanism and the second walking mechanism and used for establishing a unified coordinate system relative to a wharf and obtaining positioning data, and the PLC control module generates a control instruction according to a judgment result. Through cooperation of the radar anti-collision module and the RFID radio frequency positioning module, real-time detection and high-precision positioning of multiple ship unloaders are achieved, and the problems of blind areas and insufficient precision of a single sensor are solved. The system can monitor the operation environment in all directions, recognize the collision risk in advance and send out an early warning or control instruction, multi-machine collaborative operation safety is guaranteed, and equipment damage and shutdown loss are effectively reduced.

An advanced pedestrian warning or alert system is a system for automotive vehicles is described herein in various embodiments. This system detects if a vulnerable road user, for example a pedestrian, is at an unsafe distance from the moving vehicle. If a pedestrian is too close to the vehicle when the vehicle is in motion, then the system will issue auditory and / or visual warnings to notify the pedestrian back to safety.

From a set of point data, a set of scattered rays is constructed. From the set of scattered rays, a set of ray slopes is computed. The set of ray slopes is mapped to a corresponding set of trigonometric functions. Using an optimization method, a parameter of the set of trigonometric functions is selected. Using an inverse of the set trigonometric functions, a vehicle mass corresponding to the set of point data is computed. Based on the vehicle mass, a threshold braking distance of a collision avoidance system of the vehicle is adjusted, the threshold braking distance comprising a distance from an object predicted to collide with the vehicle. By braking the vehicle at least the threshold braking distance from the object, a predicted collision between the vehicle and the object is avoided.

A vehicular driving assist system includes a sensor disposed at a vehicle. The vehicular driving assist system is operable to at least partially control the equipped vehicle as the equipped vehicle moves in a direction of travel. As the equipped vehicle moves in the direction of travel, and based on processing captured sensor data, the vehicular driving assist system determines a following vehicle at least rearward of the equipped vehicle and travelling in the direction of travel. With the determined following vehicle at least rearward of the equipped vehicle, and based on determination of a potential forward braking event relative to a road condition at least forward of the equipped vehicle, the vehicular driving assist system adjusts control of the equipped vehicle to commence reducing speed of the equipped vehicle at a distance relative to the determined road condition greater than when no following vehicle is determined.

The disclosed technology teaches a system and method for providing driver assistance alerts to a driver using an end-to-end artificial intelligence advanced driver assistance system. The disclosed techniques further include receiving a series of environmental data of a driving state including at least video from a camera, return data from an optical sensor, and location data from a GNSS receiver, where the camera, the optical sensor, and the GNSS receiver are coupled to a processor carried by a vehicle; processing the environmental data as input to an end-to-end neural network, wherein the end-to-end neural network is trained to generate specified steering and speed control actions in response to a current driving state; analyzing hidden layer data and output data from the end-to-end neural network to estimate collision avoidance data; and presenting to the driver a user interface including a driver assistance alert based on the collision avoidance data.

This invention relates to the field of ship collision avoidance technology, and discloses an intelligent active collision avoidance system and method for ships. The system includes a sensing module, a control and decision-making module, and an execution module. The sensing module collects distance, outline, and micro-motion data of obstacles around the ship. The control and decision-making module identifies impending collision threats and predicts the timing of a collision based on the data, generating an airbag trigger response strategy that matches the timing of the collision. The modular airbag unit of the execution module is normally flat and close to the hull, and can rapidly inflate to a preset shape before a collision, forming a buffer protection structure adapted to the collision intensity. This invention achieves proactive, intelligent, and precise ship collision avoidance. The buffer performance can dynamically adapt to the collision intensity, and the modular design facilitates maintenance and expansion, significantly improving collision safety and navigation economy in scenarios such as berthing and unberthing.

The utility model discloses a control circuit of an AI image anti-collision system, and belongs to the field of anti-collision of engineering trucks. Comprising a main control module; the video monitoring module is used for monitoring whether an obstacle exists in a blind area of the vehicle; the speed measuring module is used for measuring the speed of the vehicle; the speed control module is used for controlling the speed of the vehicle; the video monitoring module, the measurement module and the speed control module are connected with the master control module. Compared with the prior art, the system has the beneficial effects that the master control module, the video monitoring module and the speed measuring module are matched, and the master control module can monitor a blind area of a vehicle in real time through the video monitoring module, measure the speed of the vehicle in real time in cooperation with the speed measuring module, intelligently recognize people and obstacles in the blind area, and monitor the blind area of the vehicle in real time; and the speed is automatically reduced through the speed control module, so that accidents are prevented, and AI image intelligent collision avoidance of the vehicle is realized.

The invention belongs to the technical field of anti-impact protection. According to the snail shell imitating square tube improved anti-impact energy absorption structure and the application, the structural monomers or the structural modular array can be used for dynamic load protection. Under the action of an axial compression load, the structure realizes a multi-layer and progressive collapse path, and has low initial peak crushing force and staged and approximately linear increasing force-displacement response characteristics. According to the bionic structure, the energy absorption efficiency of the rectangular pipe is effectively improved under the condition that the mass and the manufacturing complexity are not increased, and the bionic structure is suitable for vehicle anti-collision systems, rail transit buffer devices and other anti-impact protection fields.

A vehicle steering automatic collision avoidance system includes a driving control computer connected to an autonomous emergency braking assistance system and an automobile steering automatic collision avoidance system. The autonomous emergency braking assistance system is configured to provide autonomous emergency braking assistance information. The vehicle steering automatic collision avoidance system is configured to provide steering collision-avoidance decision information, when activated. The driving control computer is capable of integrating the autonomous emergency braking assistance information and the steering collision-avoidance decision information.

The present invention provides a verification device and method for a ship-bridge active collision avoidance system in a bridge area water area. The device includes: a first data transmission module for receiving ship navigation data in the bridge area water area; a digital twin simulation module for obtaining virtual ship motion parameters based on the ship navigation data in the bridge area water area and a preset ship motion situation; a second data transmission module for sending the virtual ship motion parameters to the ship-bridge active collision avoidance system and receiving entity ship motion optimization data; and a function evaluation module for determining that the ship-bridge active collision avoidance system is effective when it is determined based on the virtual ship motion parameters and the entity ship motion optimization data that the entity ship motion optimization data is not distorted and the virtual ship will not collide with the bridge pier. The present invention can test and verify the effectiveness of the function of the ship-bridge active collision avoidance system in the laboratory stage without installing it in the bridge area water area.

A rotary wing drone communicates its altitude (determined by an onboard GPS receiver) and an air pressure (from multiple onboard barometers) to a ground station which has a known height above sea leve

A proximity detection and collision avoidance system determines whether a collision risk exists between two vehicles by measuring magnetic field vectors generated on each of the vehicles as the relative distance between the vehicles decreases.

The invention discloses an anti-collision system and an anti-collision method. The method comprises the following steps: detecting a first detection area and a second detection area through a radar to generate a detection result of a target object, wherein the second detection area comprises the first detection area and is larger than the first detection area; judging whether the target object invades the first detection area or the second detection area according to the detection result; in response to judging that the target object invades the second detection area but does not invade the first detection area, calculating a first collision probability according to the first weight and the detection result; in response to judging that the target object invades the first detection area, calculating a first collision probability according to the second weight and the detection result; and judging whether to output alarm information according to the first collision probability.

A collision avoidance system (CAS) airborne unit onboard an aerial platform of a first priority level includes a navigational module to determine current position of the aerial platform; a communication module to intermittently transmit a localization transmission, and to receive intermittently transmitted localization transmissions from another CAS airborne unit on-board another lower priority level aerial platform; and a processor to calculate, based on the received intermittently transmitted localization transmissions and on a current location, speed and heading of the CAS airborne unit, a collision risk between the aerial platform and the other aerial platform, and to generate one or a plurality of steering commands and cause a transmission of one or a plurality of a steering commands to be performed by the other aerial platform and to cause the steering commands to be transmitted by the communication module to the other CAS airborne unit.

Methods and systems are provided for autonomous vehicle operation for collision avoidance. One method involves identifying an autonomous operating mode and one or more settings associated with the autonomous operating mode prior to entering an autonomous collision avoidance mode in response to an output from a collision avoidance system, and after entering the autonomous collision avoidance mode, automatically restoring autonomous operation upon deactivation of the autonomous collision avoidance mode. For example, the autonomous operating mode may be automatically reinitiated based on the current vehicle status using the one or more settings in response to deactivation of the autonomous collision avoidance mode when it is determined that the autonomous operating mode is viable based on a relationship between a current vehicle status and the one or more settings associated with the autonomous operating mode.

This invention discloses a collision avoidance method and system for a de-hooking robot under complex working conditions. The invention relates to the technical field of collision avoidance methods. Based on the working area, the type of complex working condition, and the de-hooking robot, multiple de-hooking positions are determined within the working area. The de-hooking behavior of the robot at each de-hooking position is determined based on the current image corresponding to each de-hooking position and the robot's working mode. The collision area of ​​the de-hooking robot is predicted based on each de-hooking behavior and the current image corresponding to each de-hooking position. Multiple collision nodes are determined based on the identification of the collision areas. An optimized de-hooking behavior is determined based on the multiple collision nodes, the corresponding de-hooking behavior, and the robot's posture. Finally, a collision avoidance system for the de-hooking robot is determined based on the optimized de-hooking behavior, the original de-hooking behavior, and the robot's movement path, thus improving the accuracy of the collision avoidance system.

A vehicle collision avoidance system includes a collision sensor that generates a collision signal indicative of an object in a path of travel of the vehicle. A controller identifies a first side of the vehicle containing a blind spot for an operator of the vehicle. The controller further identifies a potential collision between the vehicle and the object responsive to the collision sensor and the speed of the vehicle and the trajectory of the vehicle. The controller suppresses, or adjusts one or more conditions for, generation of a control signal relating to the potential collision if the vehicle speed and trajectory meet predetermined conditions and the potential collision would occur on a second side of the vehicle opposite the first side of the vehicle.

A collision avoidance system for road trains that relies strictly on sensors installed on the tractors yet is effective at avoiding collisions between the dollies and obstacles and a method for operating the system are disclosed. The collision avoidance system includes at least one exteroceptive sensor mounted to the tractor and configured to acquire environmental data, at least one proprioceptive sensor mounted to the tractor and configured to acquire a tractor direction, a tractor speed and / or a tractor velocity, and at least one processor configured to detect objects based on the environmental data, compute a trajectory of each of the at least one dolly based on dimensions of the tractor, dimensions of the at least one dolly, a number of the at least one dolly, the tractor direction, the tractor speed and / or the tractor velocity, and determine whether the trajectory intersects a boundary of one of the objects.

To provide a collision avoidance system and a control method thereof capable of preventing a robot in a passage from colliding when a person goes out to the passage through a door from a habitable room.SOLUTION: A control section 22 controls a door D1 so as to open it when a person 5 stands in front of the door D1 arranged between a habitable room and a passage. The control section 12 controls movement of a robot 40. The control section 22 carries out delay control so as to delay opening of the door D1 when the person 5 stands in front of the door D1 at the habitable room side and the robot 40 is positioned within a prescribed area in front of the door D1 at the passage side. The control section 12 controls the robot 40 so as to limit movement of the robot 40 when the door D1 is opened without carrying out the delay control.SELECTED DRAWING: Figure 4

A collision avoidance system and method for a mobile machine includes determining a boundary zone and providing a notification and / or control command to prevent a collision with another object. A first safety zone associated with a first and second portion of the mobile machine is determined. A second safety zone associated with the second portion of the mobile machine is determined. A boundary zone is determined as a function of a combination of the first and second safety zone. A notification and / or a control command is provided based on a relationship of an object to the boundary zone.