Abstract: A method comprises: first, obtaining a to-be-recognized lane line image; then determining, based on the lane line image, a candidate pixel used to recognize a lane line region, to obtain a candidate point set, where the lane line region is a region of a location of a lane line in the lane line image and a surrounding region of the location of the lane line; then selecting a target pixel from the candidate point set, and obtaining at least three location points associated with the target pixel in a neighborhood, where the at least three location points are on one lane line; and finally, performing extension by using the target pixel as a start point and based on the at least three location points associated with the target pixel, to obtain a lane line point set corresponding to the target pixel.

Abstract: The present application discloses a nucleic acid composition for expressing recombinant EBIV-related genes and proteins and the use thereof. The nucleic acid composition includes a nucleic acid molecule having sequences shown in SEQ ID NO. 14, 15, 16, and 17. In the present application, a recombinant EBIV is also constructed with this nucleic acid composition. The virus not only has broad-spectrum infectivity to mammalian and mosquito cells, can be stably passaged, but also has green fluorescence, which can provide a research foundation for in vitro and in vivo virus tracing, virus detection, antiviral drugs, vaccine screening, with significant application prospects.

Abstract: This application discloses a traffic light recognition method and apparatus in the field of artificial intelligence that relate to an automated driving technology. The recognition apparatus determines location information of n first traffic lights in a first image based on current positioning information of a vehicle, a calibration parameter of an image sensor, and prestored map data; and detects the first image by using an image detection method, to obtain location information of m second traffic lights in the first image and indication information of the m second traffic lights. This effectively reduces a traffic light recognition error, and improves recognition accuracy.

Abstract: The present application discloses a nucleic acid composition for expressing recombinant EBIV-related genes and proteins and the use thereof. The nucleic acid composition includes a nucleic acid molecule having sequences shown in SEQ ID NO. 14, 15, 16, and 17. In the present application, a recombinant EBIV is also constructed with this nucleic acid composition. The virus not only has broad-spectrum infectivity to mammalian and mosquito cells, can be stably passaged, but also has green fluorescence, which can provide a research foundation for in vitro and in vivo virus tracing, virus detection, antiviral drugs, vaccine screening, with significant application prospects.

Abstract: A method comprises: first, obtaining a to-be-recognized lane line image; then determining, based on the lane line image, a candidate pixel used to recognize a lane line region, to obtain a candidate point set, where the lane line region is a region of a location of a lane line in the lane line image and a surrounding region of the location of the lane line; then selecting a target pixel from the candidate point set, and obtaining at least three location points associated with the target pixel in a neighborhood, where the at least three location points are on one lane line; and finally, performing extension by using the target pixel as a start point and based on the at least three location points associated with the target pixel, to obtain a lane line point set corresponding to the target pixel.

Abstract: This application discloses a traffic light recognition method and apparatus in the field of artificial intelligence that relate to an automated driving technology. The recognition apparatus determines location information of n first traffic lights in a first image based on current positioning information of a vehicle, a calibration parameter of an image sensor, and prestored map data; and detects the first image by using an image detection method, to obtain location information of m second traffic lights in the first image and indication information of the m second traffic lights. This effectively reduces a traffic light recognition error, and improves recognition accuracy.

Abstract: Provided are electronic biosensors based on graphene field effect transistors that utilize engineered hairpin probe DNA that allows for target recycling and hybridization chain reactions.

Abstract: The present disclosure provides an input method and apparatus, wherein the method comprises: displaying a speech collecting control on a current interface after a word input function is triggered; collecting speech data after the speech collecting control is triggered; upon completion of the speech data collection, converting the collected speech data into words, and displaying the words obtained from the conversion on the screen. In the present disclosure, it is only necessary to display the speech collecting control on the current interface during the whole word input procedure, without popping up the word input method panel that occupies a lot of screen space. The user may input speech after triggering the speech collecting control, thereby achieving automatic conversion and input of words without requiring the user to put in a lot of energy to manually input words.