Abstract: A signal lamp recognition method, a device, and a storage medium are provided, which are related to the field of intelligent transportation such as vehicle infrastructure cooperation, Internet of vehicles and the like. The method includes recognizing a plurality of video frames by using a signal lamp recognition model to obtain state information of a real signal lamp and state information of a simulated signal lamp; and determining a time delay between the real signal lamp and the simulated signal lamp according to the state information of the real signal lamp and the state information of the simulated signal lamp.

Abstract: A refrigeration device and a vehicle are provided, and relate to the technical field of vehicles. The refrigeration device is disposed in a trunk of the vehicle, and the refrigeration device includes: a semiconductor refrigeration sheet, having a cold end and a hot end which are disposed oppositely, wherein the hot end of the semiconductor refrigeration sheet is attached to an inner wall of the trunk, and the cold end of the semiconductor refrigeration sheet is disposed toward an inner space of the trunk.

Abstract: A vehicle door, a vehicle and a driving training system are provided, and relates to the technical field of driving training, wherein the vehicle door includes: a door body, wherein a door handle is provided on an inner side of the door body; and a target object detection apparatus, provided on the inner side of the door body, wherein the target object detection apparatus is configured for detecting whether there is a target object at a target area under a preset condition, and the target area is formed on the inner side of the door body and spaced apart from the door handle by a preset distance.

Abstract: A method for detecting a bumpy region of a road surface, an electronic device, a storage medium and a vehicle, are provided, and relate to the field of computer technology. The method includes: acquiring driving state data of a vehicle and an orientation of the vehicle; determining, according to the driving state data, whether the vehicle passes through the bumpy region of the road surface; and in a case where the vehicle passes through the bumpy region of the road surface, determining a location of the bumpy region of the road surface according to the driving state data and the orientation of the vehicle.

Abstract: A method and an apparatus for adjusting a driving training course, an electronic device, and a storage medium are provided, and relates to the field of driving information management, driving training course optimization, and the like. The method includes: collecting current training data in a current training course of a learner driver; acquiring historical training data of the learner driver; comparing the current training data and the historical training data with a corresponding evaluation criterion to obtain an evaluation result; and adjusting a subsequent training course of the learner driver according to the evaluation result.

Abstract: A braking method for a vehicle, an electronic device and a storage medium are provided, and relates to the field of intelligent vehicles. The method includes: generating, in a case where a braking trigger signal is received, a first braking control signal according to a first braking parameter of the vehicle, wherein the first braking control signal is used to control a braking traction mechanism to draw a brake pedal according to the first braking parameter, to perform braking; collecting braking data of a current braking process; evaluating a braking effect of the current braking process according to the collected braking data; and determining whether to adjust the first braking parameter according to a result of the evaluating, wherein the determined first braking parameter is used for a next braking process of the vehicle.

Abstract: A method for assisting driving training, and an electronic device, relating to the field of computer technology, and in particular, to the field of mobile control technology, are provided. The method includes: acquiring training situations of a plurality of teaching vehicles from a server: displaying the training situations of the plurality of teaching vehicles; and generating a control command for driving training according to an instruction of a trainer in a training site; and sending the control command to a vehicle-mounted terminal of a corresponding teaching vehicle. The technical solution may be applied to the training site, and controls the vehicle-mounted terminal based on the mobile device, thereby realizing mobile driving training and improving driving training effects.

Abstract: A method for intelligently scheduling teaching of a driving school, an electronic device, and a storage medium are provided, relate to the technical field of computers, and in particular to the technical field of intelligent scheduling. The method includes: receiving a reservation request initiated by a student of the driving school; determining a status of a training resource reserved by the reservation request; searching for a training resource in an idle status, in a case where the reserved training resource is in a non-idle status; and adjusting the reserved training resource to a training resource in the idle status.

Abstract: A method for testing sensing effect, a moving apparatus, an electronic device, a storage medium, and a system for testing a sensing effect are provided, and relate to the field of intelligent vehicles. The method includes: controlling a moving apparatus to move within a preset range of a vehicle in accordance with a preset route, wherein the moving apparatus carries at least one type of sensing target, and a sensing device to be tested is installed on the vehicle; generating true reference data according to movement data of the movement apparatus and sensing target information on the sensing target; acquiring sensing result data of the sensing target, generated by the sensing device to be tested; and testing the sensing effect of the sensing device to be tested according to the true reference data and the sensing result data.

Abstract: A signal lamp recognition method, a device, and a storage medium are provided, which are related to the field of intelligent transportation such as vehicle infrastructure cooperation, Internet of vehicles and the like. The method includes recognizing a plurality of video frames by using a signal lamp recognition model to obtain state information of a real signal lamp and state information of a simulated signal lamp; and determining a time delay between the real signal lamp and the simulated signal lamp according to the state information of the real signal lamp and the state information of the simulated signal lamp.

Abstract: The present application provides a method and apparatus for testing response speed of an on-board device, a device and a storage medium, relating to the field of autonomous driving in the field of artificial intelligence and the field of Internet of Vehicles. The method for testing response speed of an on-board device includes: obtaining multimedia information which includes a preset voice command and response information of the on-board device to the preset voice command; analyzing the multimedia information and determining an end time of the preset voice command and a time corresponding to the response information; determining response speed of the on-board device according to the end time of the preset voice command and the time corresponding to the response information. This method improves the accuracy of the response speed test result.