Abstract: The present disclosure discloses a method and an apparatus for generating a map, relating to a field of intelligent transportation technologies in the field of computer technologies. The method includes the following. A street view image corresponding to a target road is obtained. The street view image is input into a preset deep learning model to obtain data of a candidate isolation belt corresponding to the street view image. The data of the candidate isolation belt includes information of the candidate isolation belt and a probability corresponding to the information of the candidate isolation belt. The information of the candidate isolation belt is corrected based on a preset correction strategy and the probability to obtain information of a target isolation belt. An icon corresponding to the information of the target isolation belt is added on a base map including the target road to generate a map.

Abstract: An instant foldable tent is provided which comprises a top support portion and a ground support portion; the top support portion has at least two groups of radially-disposed top support poles, and the ground support portion has at least three leg poles; a beam crossing pole is disposed between two adjacent leg poles; one end of the top support poles is connected to a top disk disposed at a radiation center, the other ends of one group of top support poles are connected to the leg poles one to one, and the other ends of another group of top support poles are connected to the beam crossing poles. At the same time, the bend disposal of one end of some of the top support poles makes the tent structure more streamlined, thus more convenient to drain rainwater and reduce wear.

Abstract: The present disclosure discloses a method and an apparatus for generating a map, relating to a field of intelligent transportation technologies in the field of computer technologies. The method includes the following. A street view image corresponding to a target road is obtained. The street view image is input into a preset deep learning model to obtain data of a candidate isolation belt corresponding to the street view image. The data of the candidate isolation belt includes information of the candidate isolation belt and a probability corresponding to the information of the candidate isolation belt. The information of the candidate isolation belt is corrected based on a preset correction strategy and the probability to obtain information of a target isolation belt. An icon corresponding to the information of the target isolation belt is added on a base map including the target road to generate a map.

Abstract: The present disclosure provides a digital pre-distortion transmitter and a method for controlling the same, which increase the efficiency of the power amplifier and improve the linearity of the transmitter. The digital pre-distortion transmitter includes: a pre-distortion unit configured to update a pre-distortion coefficient required by pre-distortion processing, and perform the pre-distortion processing on a baseband signal; a signal process and transmit unit configured to perform signal processing on the pre-distortion-processed baseband signal and transmission thereof; and a feedback signal process unit configured to process a feedback signal of the signal transmitted by the signal process and transmit unit, so as to supply a dynamic drain voltage to a power amplifier in the signal process and transmit unit by using the processed feedback signal; and, the pre-distortion unit updates the pre-distortion coefficient by using the feedback signal processed by the feedback signal process unit.

Abstract: The embodiments of the present disclosure provide a digital pre-distortion transmitter and a method for controlling the same, which increase the efficiency of the power amplifier and improve the linearity of the transmitter.