5 results about "Intelligent transport" patented technology

The invention relates to an intelligent storage transfer vehicle, comprising a transfer vehicle body, a control device, an induction navigation device and a roller table assembly; the control device includes a main drive device and a roller table drive device, the main drive device is installed in the transfer vehicle body, and the roller table drive device Installed between the transfer vehicle body and the roller table assembly, the roller table drive device drives the forward roller table forward and the reverse roller table reverse respectively; the control device and the induction navigation device are connected to the control terminal; the roller table assembly is also equipped with There is a material detector. The transfer vehicle uses the roller table assembly and the roller table drive device, and the roller table drive device respectively drives the forward rotation roller table to rotate forward and the reverse roller table to reverse, thereby adjusting the position of the goods, reducing the risk of goods falling, and without manual labor Operation, reduce labor costs, the material detector can effectively detect whether the goods are placed on the transfer vehicle, avoid running empty, resulting in waste of resources, which is conducive to the promotion and application of the intelligent storage transfer vehicle in the market.

The invention belongs to the field of intelligent transportation, and relates to a fine-grained non-motor vehicle feature detection method, a storage medium and computer equipment, and the method comprises the steps: constructing a feature detection network which comprises a convolutional neural network, a plurality of block fusion modules and a driver and non-motor vehicle feature detector, wherein the block fusion modules which are connected are used for achieving a feature pyramid network from the deep feature map to the shallow feature map; selecting a plurality of network feature layers from the feature detection network, performing layer-by-layer blocking and fusion processing to obtain a driver fine-grained feature map and a non-motor vehicle fine-grained feature map, respectively inputting the driver fine-grained feature map and the non-motor vehicle fine-grained feature map into a driver feature detector and a non-motor vehicle feature detector for positioning and classifying regions of interest, and respectively outputting the regions of interest to an upper sampling layer; and further partitioning and fusing features to the shallow feature map to obtain a driver feature map and a non-motor vehicle feature map which are fused with finer-grained resolution information. According to the method, a detection network with block feature pyramid fusion is provided, and the target detection accuracy is improved.

The invention discloses a method and device for determining a bus priority scheme and a traffic system, and belongs to the field of intelligent traffic. The method comprises the following steps: acquiring traffic flow data of a target signal control intersection in a target road network and position data of buses needing to pass through the target signal control intersection in the target road network, wherein the traffic flow data of the target signal control intersection at least comprises traffic flow data of social vehicles passing through the target signal control intersection; determining a basic signal control scheme of the target signal control intersection according to the traffic flow data of the target signal control intersection; and determining a bus priority scheme of the target signal control intersection according to the basic signal control scheme of the target signal control intersection and the position data of the buses which need to pass through the target signal control intersection in the target road network. According to the method, the traffic flow data of the social vehicles at the target signal control intersection are considered when the bus priority scheme is determined, so that the flexibility of the bus priority scheme is improved.