A parking lot entrance positioning method, device and vehicle-mounted terminal in parking positioning
A parking lot entrance and positioning method technology, applied in the field of intelligent driving, can solve the problems of poor positioning accuracy, insufficient initial pose accuracy at the entrance of the parking lot, and insufficient GPS signal positioning accuracy, so as to reduce the positioning range and improve positioning accuracy Effect
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Embodiment approach 1
[0183] Embodiment 1 includes the following steps 1b-5b.
[0184] Step 1b: Match the semantic information of the parking lot image with the semantic information of each location point in the preset map, and obtain the target location corresponding to the semantic information that is successfully matched in the preset map.
[0185] Step 2b: Taking the first vehicle pose as the initial value of the estimated pose, according to the value of the estimated pose and the position of the semantic information of the parking lot image in the parking lot image, calculate the mapping of the semantic information of the parking lot image to the preset Sets the first mapped position in the map.
[0186] In this step, mapping the semantic information of the parking lot image to the first mapping position in the preset map can be understood as mapping the semantic information of the parking lot image to the coordinate system of the preset map, and the mapped position is the first A map locatio...
Embodiment approach 2
[0192] Embodiment 2 includes the following steps 1c-5c.
[0193] Step 1c: matching the semantic information of the parking lot image with the semantic information of each position point in the preset map to obtain the target position corresponding to the successfully matched semantic information in the preset map.
[0194] Step 2c: Taking the first vehicle pose as the initial value of the estimated pose, and according to the value of the estimated pose and the target position, calculate the second mapping position of the successfully matched semantic information in the preset map in the parking lot image.
[0195]Wherein, calculating the second mapping position of the semantic information successfully matched in the preset map in the parking lot image can be understood as mapping the semantic information successfully matched in the preset map to the coordinate system where the parking lot image is located, and the mapped The location is the second mapped location.
[0196] St...
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