7 results about "Collision domain" patented technology

The invention discloses a pedestrian collision risk assessment method applied to a signal-free road, and the method comprises the steps: firstly, detecting the relative distance and relative angle information of a pedestrian through a millimeter-wave radar; and then estimating the current speed and course angle of the pedestrian through extended Kalman filtering (EKF). And according to the current speed of the pedestrian, a Markov chain is used to predict the pedestrian trajectory, and the future speed of the pedestrian is predicted. The driving information of the vehicle is detected by a vehicle sensor (IMU and the like). A collision domain is obtained based on predicted future trajectory information of pedestrians and vehicles to judge whether the pedestrians and the vehicles collide, finally collision risk levels are evaluated based on TTC, and different collision avoidance measures are taken according to different risk levels.

The invention relates to the technical field of wireless communication, in particular to a communication network resource allocation method and system for an unmanned aerial vehicle formation, and a medium, and solves the problem that in the prior art, information lag is caused in a high-speed moving scene due to dependence on periodic feedback channel state information of unmanned aerial vehicles. And the wireless channel sharing conflict domain causes inaccuracy of limited network resource allocation and poor real-time performance. The method comprises the following steps: acquiring state information and preset state information of a plurality of unmanned aerial vehicles in an unmanned aerial vehicle formation; determining flight deviation information of each unmanned aerial vehicle in the plurality of unmanned aerial vehicles according to the state information and preset state information; determining the communication demand urgency degree of each unmanned aerial vehicle according to the flight deviation information of the plurality of unmanned aerial vehicles; dividing the plurality of unmanned aerial vehicles into a plurality of communication groups according to the communication demand urgency degrees of the plurality of unmanned aerial vehicles; and allocating corresponding communication network resources to different communication groups according to the division result of the plurality of communication groups.

The embodiments of the present application provide a wireless ranging, direction finding and positioning method and related equipment, wherein a wireless ranging method comprises: in a current ranging period, selecting one from a plurality of directional antennas arranged at a ranging node itself as a target antenna corresponding to a target node, wherein the orientations corresponding to each of the directional antennas are all different; applying a carrier-free communication technology to control data communication between the target antenna and the target node; and obtaining distance information of the ranging node itself relative to the target node based on a result of the data communication. The present application can effectively reduce the conflict domain range of wireless signals in the measurement process, and can effectively improve the measurement capacity of the target node.

The present application relates to the technical field of wireless communication, and in particular to a method and system for allocating communication network resources of a UAV formation, and a medium, which solves the technical problems of information lag in high-speed mobile scenarios and inaccurate allocation of limited network resources and poor real-time performance caused by wireless channel sharing conflict domains due to the dependence on periodic feedback of channel state information in the prior art. The method comprises: obtaining state information of a plurality of UAVs in a UAV formation and preset state information; determining flight deviation information of each UAV in the plurality of UAVs according to the state information and the preset state information; determining the communication demand urgency of each UAV according to the flight deviation information of the plurality of UAVs; dividing the plurality of UAVs into a plurality of communication groups according to the communication demand urgency of the plurality of UAVs; and allocating corresponding communication network resources to different communication groups according to the division results of the plurality of communication groups.

The present application discloses a deep learning method and system for spectrum sharing of partially overlapping channels. The method comprises the following steps: in response to a received user transmission request, inputting, by a base station, channel state information CSI of a plurality of historical time slices into a trained channel prediction convolutional neural network model and outputting predicted channel state information CSI of a next time slice; and inputting the channel state information CSI of the next time slice into a reinforcement learning model and obtaining a channel allocation strategy of each user equipment in a collision domain of the base station so as to realize a maximum throughput of simultaneous communication of each user equipment, wherein the reinforcement learning model is obtained by training by taking bandwidth efficiency performance as a reward. The present application is high in universality, bandwidth utilization rate and throughput for communication networks.

This application relates to the field of software development technology, specifically disclosing a bare metal deployment method, apparatus, device, and medium based on a three-tiered network. By implementing a three-tiered deployment network for bare metal, this application goes beyond the traditional two-tiered network architecture, improving the large-scale support capability of the cluster at the network layer. This solves the problem of limited bare metal cluster size, significantly increasing the size of bare metal servers and enhancing support capabilities in ultra-large cluster scenarios. Furthermore, dividing the three-tiered network into layers using LEAFs (Levels of Af) provides greater flexibility in cluster deployment. Each LEAF is independent, and subsequent expansion only requires expanding the corresponding bare metal cluster by LEAF, ensuring scalability and ease of expansion. On the other hand, customized DHCP enables cross-collision domain communication for bare metal in ultra-large clusters; only one DHCP service is needed per cluster, reducing maintenance costs and resource overhead.

This application relates to a client collaboration method and system for online updates of marketing components. Each marketing component is first converted into a JSON string, and then at least one atomic operation sequence string and a collision domain ID are written into each JSON string. The concept of a collision domain is defined to automate and eliminate the need for human intervention when different clients edit the same content area in the same marketing component. Furthermore, all complex modification operations performed by the client can be broken down into distinct atomic operation sequence strings. This simple principle avoids placing a significant computational burden on subsequent over-the-air (OT) algorithms.