6 results about "Shared space" patented technology

This invention discloses an emotion-driven multi-region adaptive joint optimization intelligent temperature control method for open spaces. The method includes establishing a correspondence between regions and temperature control execution units, acquiring region state data, calculating the region's emotional stress index and its corresponding confidence level, establishing an inter-regional influence weight matrix to obtain coupled emotional stress indices for each region and determining influence coefficients, constructing a multi-regional joint optimization model, determining whether emotional event triggering conditions are met, solving the multi-regional joint optimization model to obtain the optimal control vector, generating and issuing control commands, and acquiring environmental parameters and temperature control interaction disturbance parameters after execution in the next control cycle, updating the method based on evaluation results. The beneficial effects of this invention are: it can achieve timely, coordinated, and stable temperature control in open, multi-user shared spaces, improving comfort and reducing fluctuations caused by human intervention.

The invention discloses an emotion-driven multi-region adaptive joint optimization intelligent temperature control method for an open space, and the method comprises the steps: building a corresponding relation between a region and a temperature control execution unit, and obtaining the state data of the region; calculating a regional emotion pressure index and a confidence coefficient corresponding to the regional emotion pressure index; establishing an inter-region influence weight matrix, obtaining a coupling emotion pressure index of each region, and determining an influence coefficient; constructing a multi-region joint optimization model; judging whether an emotional event triggering condition is met or not, solving the multi-region joint optimization model, obtaining an optimal control quantity vector, generating a control instruction and issuing the control instruction; and acquiring the environment parameters and the temperature control interaction disturbance parameters after execution in the next control period, and performing updating according to the evaluation result. The method has the beneficial effects that the timely, coordinated and stable adjusting effect on partition temperature control can be achieved under the operation environment of an open type multi-person shared space, the comfort is improved, and fluctuation caused by manual intervention is reduced.

The application relates to a non-motor vehicle track reconstruction method in a motor-non-motor shared space, and the method steps comprise the following: extracting an initial track through a CV algorithm; adopting an LSTM to predict and complete a track missing due to occlusion, and matching the track before and after occlusion through a Hungarian algorithm to complete a complete track; adopting a three-layer cyclic social force particle filtering algorithm constructed by integrating a social force model representing non-motor vehicle driving behavior into a particle filtering framework to denoise the completed complete track to obtain a reconstructed track. Compared with the prior art, the application can effectively improve the performance of a video detector in acquiring high-precision track data, provide more fine perception data for a holographic intersection and a traffic control system, and has great application value in the industry.

The invention discloses a scale adaptive traffic target detection method and device based on roadside multi-mode fusion, and a medium, and belongs to the technical field of intelligent traffic and computer vision. The method comprises the following steps: firstly, extracting multi-scale features of a laser radar point cloud and a camera image, and carrying out geometric alignment through camera parameters; a learnable deep embedded network is used to generate a weight, and deep adaptive weighting is carried out on the image features; then, the weighted bimodal features are mapped to a shared potential space, interaction and fusion are carried out through correlation modeling and an attention mechanism, and layer-by-layer optimization is carried out by adopting a multi-scale cycle strategy; and finally, converting the fusion features into an aerial view for target detection. According to the invention, through deep fusion of depth self-adaptive feature weighting and shared space, the problem that far and near target scales change drastically due to a wide view angle of a roadside scene is effectively solved, and the detection precision and robustness of a full-scale target in a complex environment are remarkably improved.

The application relates to a cross-modal pedestrian re-identification method and system based on high-order structure modeling, which comprises the following steps: 1) extracting VIS pictures and IR pictures of multiple pedestrians from a data set in pairs to form a VIS-IR picture pair training data set; 2) constructing a cross-modal pedestrian re-identification network model, wherein the cross-modal pedestrian re-identification network model mainly comprises a backbone network for extracting basic features of an image, a short-long range feature extraction module for extracting features in different range scales, a high-order structure learning module for learning high-order structure information in an image, and a shared space learning module for reducing the difference of pedestrians in different modalities; the model is trained by using the training data set to obtain generalizable model parameters; and 3) applying the trained cross-modal pedestrian re-identification network model to cross-modal retrieval to realize pedestrian re-identification between different modalities. The method and system are beneficial to obtaining more stable, robust and accurate cross-modal pedestrian re-identification results.

Embodiments of the present application provide a communication method, a communication system, an electronic device and a readable storage medium, and relate to the field of unmanned driving. The application is applied to a communication system, the communication system comprising a client, a vehicle terminal and a server. The client responds to at least one preset operation being triggered. For each preset operation, a message containing at least one target identifier, a target instruction and a topic identifier is generated according to the preset operation, and the message corresponding to the preset operation is uploaded to the server. The server stores the message in a shared space corresponding to the target topic identifier. The target vehicle terminal acquires the message in response to the storage content of the shared space being updated. If it is determined that the at least one target terminal identifier contained in the message contains the terminal identifier of the target vehicle terminal, the target instruction is executed. The target vehicle terminal is a vehicle terminal subscribing to a topic of the target topic identifier. The application reduces the memory occupation and the end-to-end delay in the communication process.