A motor vehicle management system provides theft prevention based on contextual information. The motor vehicle management platform includes sensing equipment that can provide input data to determine a context of the vehicle and an operator of the vehicle. The context can include location information of the motor vehicle and an identity of the operator of the motor vehicle. Based on permissions for the operator, the system can determine if a context of the vehicle violates permissions for the identified operator.

A motor vehicle management system provides theft prevention based on contextual information. The motor vehicle management platform includes sensing equipment that can provide input data to determine a context of the vehicle and an operator of the vehicle. The context can include location information of the motor vehicle and an identity of the operator of the motor vehicle. Based on permissions for the operator, the system can determine if a context of the vehicle violates permissions for the identified operator.

A vehicle monitoring system is provided which determines the mode of display and the compressibility of a moving image, a streaming video and a still image based on a monitoring level determined by vehicle conditions detected. The system generates a monitoring image using the determined display mode or compressed at the determined compressibility and transmits the monitoring image to an external terminal device.

This disclosure relates to an access control method for a motor vehicle. The motor vehicle includes a plurality of access elements, which are automatically moveable between a closed position and an open position. Depending on the at least one detected position of the key element, a prediction is made of which of the plurality of access elements the user is likely to use. This access element is automatically opened. If the prediction turns out to be incorrect, the corresponding one of the plurality of access elements for which the use was originally predicted is returned back from the open position to the closed position. This disclosure further relates to an access control system for a motor vehicle.

This disclosure relates to an access control method for a motor vehicle. The motor vehicle includes a plurality of access elements, which are automatically moveable between a closed position and an open position. Depending on the at least one detected position of the key element, a prediction is made of which of the plurality of access elements the user is likely to use. This access element is automatically opened. If the prediction turns out to be incorrect, the corresponding one of the plurality of access elements for which the use was originally predicted is returned back from the open position to the closed position. This disclosure further relates to an access control system for a motor vehicle.

Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Disclosed embodiments include an anti-theft system for a driverless vehicle. In some embodiments, the anti-theft system for a driverless vehicle includes an on-board device installed on the driverless vehicle, a server in communication with the on-board device, and a terminal in communication with the server: the terminal configured to send state information about states of the driverless vehicle to the server; the server configured to receive the state information sent by the terminal and to store the state information; and the on-board device configured to acquire the state information stored in the server, and execute a preset operation when the state of the driverless vehicle is determined to be the abnormal state according to the state information.

Disclosed embodiments include an anti-theft system for a driverless vehicle. In some embodiments, the anti-theft system for a driverless vehicle includes an on-board device installed on the driverless vehicle, a server in communication with the on-board device, and a terminal in communication with the server: the terminal configured to send state information about states of the driverless vehicle to the server; the server configured to receive the state information sent by the terminal and to store the state information; and the on-board device configured to acquire the state information stored in the server, and execute a preset operation when the state of the driverless vehicle is determined to be the abnormal state according to the state information.

A method and system for servicing keyless vehicles is provided. The keyless vehicles include security systems that permit operation of the keyless vehicles if the security system receives a unique security signal from a smartphone. The method includes receiving a service request and unique first security data information from a customer concerning a location of a first keyless vehicle that requires service. An authorized person is transported to the first keyless vehicle in a second keyless vehicle. A customer's smartphone is provided with unique second security data whereby a customer can enter and operate the second keyless vehicle utilizing the customer's smartphone. The authorized person drives the first keyless vehicle to a service facility utilizing a second smartphone that is configured to generate a security signal to permit operation of the first keyless vehicle.

The present disclosure provides a method for a vehicle security check, a system and an apparatus, a device and a storage medium. The present disclosure relates to the technical fields of Internet of Vehicles, autonomous driving and intelligent cockpits. A method can include: obtaining target vehicle identification information of a target vehicle and hardware identification information of a target sensor of the target vehicle; determining whether the target sensor is credible based on a pre-registered vehicle identification of a credible vehicle and a pre-registered hardware identification of a corresponding credible sensor; performing a security check on the target vehicle based on current vehicle owner information of the target vehicle and current security scenario information under the condition that the target sensor is credible; and turning off the target sensor under the condition that the target vehicle passes the security check.