Abstract: Disclosed embodiments relate to a method and an apparatus for testing accuracy of a high-precision map. In some embodiments, the method includes: reverting the high-precision map to a road network map; acquiring a 3D point cloud road image labeled with an actual coordinate of a map element; fitting the 3D point cloud road image into the road network map to obtain a road network map with the fitted 3D point cloud road image; calculating a differential between the actual coordinate of the 3D point cloud road image in the road network map with the fitted 3D point cloud road image and a map coordinate in the road network map; and determining the high-precision map as being accurate in response to the differential being less than or equal to a preset threshold.

Abstract: A Type-c connector with improved performance includes a main insulator, a hook member, a housing, an upper row of terminals, a lower row of terminals, and a shield casing. With creepage portions integratedly extended from front ends of upper and lower insulating members of the main insulator, creepage distances between the terminals and the shield casing are increased, thereby reducing the risk of short circuit.

Abstract: Disclosed embodiments relate to a method and an apparatus for testing accuracy of a high-precision map. In some embodiments, the method includes: reverting the high-precision map to a road network map; acquiring a 3D point cloud road image labeled with an actual coordinate of a map element; fitting the 3D point cloud road image into the road network map to obtain a road network map with the fitted 3D point cloud road image; calculating a differential between the actual coordinate of the 3D point cloud road image in the road network map with the fitted 3D point cloud road image and a map coordinate in the road network map; and determining the high-precision map as being accurate in response to the differential being less than or equal to a preset threshold.

Abstract: The present application discloses a method and apparatus for constructing a testing scenario for a driverless vehicle. An embodiment of the method includes: acquiring a traffic image including a scenario object, the scenario object comprising a roadway object, a traffic sign object, a vehicle object, or a pedestrian object; acquiring attribute information of the scenario object based on the traffic image; and constructing the testing scenario for the driverless vehicle based on the scenario object and the attribute information. The present application enables constructing the testing scenario for the driverless vehicle with real attributes of a roadway object, a traffic sign object, a vehicle object, or a pedestrian object. Therefore, a real traffic condition is restored and employed as the testing environment for the driverless vehicle, and the accuracy of the driverless vehicle testing is improved.