A method of estimating a load on a vehicle (10), the method comprising: obtaining a first load estimate using a first load estimation technique; obtaining a second load estimate using a second load estimation technique; analysing characteristics of the first load estimate and the second load estimate; and, based on the analysis selecting either the first load estimate or the second load estimate as an output load estimate.

A method of estimating a load on a vehicle (10), the method comprising: obtaining a first load estimate using a first load estimation technique; obtaining a second load estimate using a second load estimation technique; analysing characteristics of the first load estimate and the second load estimate; and, based on the analysis selecting either the first load estimate or the second load estimate as an output load estimate.

A vehicle control device 1 having: a deceleration detection unit 121 that detects deceleration of a vehicle T; a vehicle stop schedule identification unit 122 that identifies that the vehicle T is scheduled to stop; a brake control unit 123 that starts to reduce brake pressure when the speed of the vehicle T has dropped to or below a threshold value; and a threshold value determination unit 124 that determines the threshold value such that the threshold value increases the greater the deceleration detected by the deceleration detection unit 121 after the vehicle stop schedule identification unit 122 has identified that the vehicle T is scheduled to stop.

A vehicle control device 1 having: a deceleration detection unit 121 that detects deceleration of a vehicle T; a vehicle stop schedule identification unit 122 that identifies that the vehicle T is scheduled to stop; a brake control unit 123 that starts to reduce brake pressure when the speed of the vehicle T has dropped to or below a threshold value; and a threshold value determination unit 124 that determines the threshold value such that the threshold value increases the greater the deceleration detected by the deceleration detection unit 121 after the vehicle stop schedule identification unit 122 has identified that the vehicle T is scheduled to stop.

An estimation device is provided with a braking-driving force acquiring unit that acquires, based on a signal from a sensor that detects a force, braking-driving force information as information indicating a braking force or a driving force applied to wheels of the vehicle; a wheel load acquiring unit that acquires, based on the braking-driving force information, a wheel load received by the wheels from a road surface; and an estimation unit that estimates, based on a value of the wheel load of each wheel included in the vehicle, a gravity center position of the vehicle.

An estimation device is provided with a braking-driving force acquiring unit that acquires, based on a signal from a sensor that detects a force, braking-driving force information as information indicating a braking force or a driving force applied to wheels of the vehicle; a wheel load acquiring unit that acquires, based on the braking-driving force information, a wheel load received by the wheels from a road surface; and an estimation unit that estimates, based on a value of the wheel load of each wheel included in the vehicle, a gravity center position of the vehicle.

An information processing method, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence, and in particular to the fields of autonomous driving and Internet of vehicles. The method includes: collecting a road image of a target road associated with a vehicle; identifying a road marking line of the target road according to the road image; determining a road type of the target road by using bending deformation information of the road marking line; and performing compensation processing on the vehicle based on the road type.

An information processing method, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence, and in particular to the fields of autonomous driving and Internet of vehicles. The method includes: collecting a road image of a target road associated with a vehicle; identifying a road marking line of the target road according to the road image; determining a road type of the target road by using bending deformation information of the road marking line; and performing compensation processing on the vehicle based on the road type.

A travel controller executes a first correction process on a request value when the vehicle is traveling on an uphill road, and executes a second correction process on the request value when the vehicle is traveling on a downhill road. The first correction process corrects the request value such that the traveling speed is higher than that in a case in which the first correction process is not executed. The second correction process corrects the request value such that the traveling speed is lower than that in a case in which the second correction process is not executed. If hard braking of the vehicle is requested during execution of the first correction process, the travel controller sets a correction amount of the request value to a lower value than that in a case in which hard braking of the vehicle is not requested.

A travel controller executes a first correction process on a request value when the vehicle is traveling on an uphill road, and executes a second correction process on the request value when the vehicle is traveling on a downhill road. The first correction process corrects the request value such that the traveling speed is higher than that in a case in which the first correction process is not executed. The second correction process corrects the request value such that the traveling speed is lower than that in a case in which the second correction process is not executed. If hard braking of the vehicle is requested during execution of the first correction process, the travel controller sets a correction amount of the request value to a lower value than that in a case in which hard braking of the vehicle is not requested.