Provided is a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, and more particularly, a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, which includes a plurality of sensors and in which the position of a sensing axis is selectively varied.

Provided is a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, and more particularly, a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, which includes a plurality of sensors and in which the position of a sensing axis is selectively varied.

A method for determining a trailer detection parameter of a trailer including receiving an image from at least one camera at a controller. The at least one camera defines a field of view including at least a portion of a vehicle trailer. The method determines a trailer angle of the vehicle trailer relative to a tractor, identifies at least one feature in an image of the trailer, determines a two-dimensional distance from the at least one feature to a predefined position on the image, and converts the two-dimensional distance to a three-dimensional distance based at least in part on the determined angle. The three-dimensional distance is a trailer detection parameter of the trailer.

Embodiments of the present disclosure relate to generating velocity profiles for an autonomous vehicle (101). An ECU (107) of the autonomous vehicle (101) receives road information from one or more sensors (106) associated with the autonomous vehicle (101). One or more parameters related to smooth movement of the autonomous vehicle on the road is determined from the road information. Further, a first velocity profile is produced using an AI model and a second velocity profile is produced using a hierarchical model, based on the one or more parameters. Furthermore, one of the first and the second velocity profile is selected by comparing the first and the second velocity profiles. The selected velocity profile has a lower value of velocity value compared to the other velocity profile. The selected velocity profile is provided to the autonomous vehicle (101) for navigating on the road (102) smoothly.

Embodiments of the present disclosure relate to generating velocity profiles for an autonomous vehicle (101). An ECU (107) of the autonomous vehicle (101) receives road information from one or more sensors (106) associated with the autonomous vehicle (101). One or more parameters related to smooth movement of the autonomous vehicle on the road is determined from the road information. Further, a first velocity profile is produced using an AI model and a second velocity profile is produced using a hierarchical model, based on the one or more parameters. Furthermore, one of the first and the second velocity profile is selected by comparing the first and the second velocity profiles. The selected velocity profile has a lower value of velocity value compared to the other velocity profile. The selected velocity profile is provided to the autonomous vehicle (101) for navigating on the road (102) smoothly.

A power adjustment system and a power adjustment method of an autonomous mobile device are provided. In the power adjustment method, two first current control signals respectively transmitted to two drivers are outputted by a control module. A tilt angle of the autonomous mobile device is detected by an inertial measurement module. A travel route is planned by a navigation module, and the control module obtains a steering angle of the autonomous mobile device during a traveling process. According to different weight values of the autonomous mobile device stored in a database module, a weight of the autonomous mobile device is estimated by the control module. According to the two first current control signals and the weight, the steering angle, and the tilt angle of the autonomous mobile device, two second current control signals respectively transmitted to the two drivers are outputted by the control module.

A power adjustment system and a power adjustment method of an autonomous mobile device are provided. In the power adjustment method, two first current control signals respectively transmitted to two drivers are outputted by a control module. A tilt angle of the autonomous mobile device is detected by an inertial measurement module. A travel route is planned by a navigation module, and the control module obtains a steering angle of the autonomous mobile device during a traveling process. According to different weight values of the autonomous mobile device stored in a database module, a weight of the autonomous mobile device is estimated by the control module. According to the two first current control signals and the weight, the steering angle, and the tilt angle of the autonomous mobile device, two second current control signals respectively transmitted to the two drivers are outputted by the control module.

The assembly mounted on a moving device includes an element, an optical system configured to form a high resolution image near an optical axis in a first region of a light receiving surface of the element and form a low resolution image of a peripheral portion separated from the optical axis in a second region wider than the first region of the light receiving surface of the element, a generation unit configured to generate a first captured image from pixel data in the first region and generate a second captured image from pixel data in the second region, and a control unit configured to selectively display the first captured image or the second captured image on a display unit in accordance with a moving direction of the moving device.

The assembly mounted on a moving device includes an element, an optical system configured to form a high resolution image near an optical axis in a first region of a light receiving surface of the element and form a low resolution image of a peripheral portion separated from the optical axis in a second region wider than the first region of the light receiving surface of the element, a generation unit configured to generate a first captured image from pixel data in the first region and generate a second captured image from pixel data in the second region, and a control unit configured to selectively display the first captured image or the second captured image on a display unit in accordance with a moving direction of the moving device.

A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a prime mover (8) and of at least one vehicle component influencing energy efficiency of a motor vehicle. The MPC algorithm (13) includes a longitudinal dynamic model (14) of the drive train (7) and of the vehicle component influencing the energy efficiency of the motor vehicle (1) as well as a cost function (15) to be minimized. The cost function (15) includes at least one first term. The processor unit (3) is configured for determining a particular input variable for the prime mover (8) and for the at least one vehicle component influencing the energy efficiency of the motor vehicle (1) by executing the MPC algorithm (13) as a function of a particular term such that the cost function (15) is minimized.