Abstract: Example vehicle test methods and apparatus are described. In one example, first position information is obtained, where the first position information is position information of the vehicle. Second position information is obtained based on the first position information, where the second position information is position information of the vehicle in a simulation scenario. When obtaining the second position information, a position conversion relationship is obtained based on the first position information and simulation scenario information, and the second position information is obtained based on the first position information and the position conversion relationship.

Abstract: A model box for leakage and collapse of a buried pipeline capable of switching internal and external seepage working conditions includes a steel structure box body, an organic glass observation window, a stainless steel pipeline, an organic glass pipeline and a sand discharging pipeline; a top portion of the box body is opened and provided with a rainfall structure bracket; two sides of an interior of the box body are divided into water tanks on two sides and a sand tank in a middle portion through steel plate barriers, and the steel plate barrier is provided with a water permeable hole.

Abstract: A simulation traffic scenario file generation method includes obtaining drive test data, where the drive test data includes traffic scenario data collected when an autonomous vehicle performs a driving test on a real road; determining a first moment at which the autonomous vehicle enters a first driving state or generates a request for entering the first driving state during the driving test; determining first clip data from the drive test data based on the first moment and ego vehicle information of the autonomous vehicle during the driving test; and generating a description file of a simulation traffic scenario based on at least the first clip data.

Abstract: The present disclosure relates to methods, apparatuses, and systems for road warning. In one example method, when using a vehicle to travel, a user may be indicated in advance that a dangerous road exists based on a driving intention of the vehicle and a distance from the dangerous road. The vehicle can start advance warning when it is determined that a driving intention probability of the vehicle to the dangerous road is not less than a specified threshold.