B60W10/00

VEHICLE BODY MANAGEMENT SYSTEM

A vehicle body management system for managing a vehicle body having a power train formed by a plurality of parts including a prime mover, the vehicle body management system including: a processing device that computes an efficiency value of a monitoring target, the monitoring target being the power train or a part or a subsystem of the power train, on the basis of information about the vehicle body, the information being sensed by a sensor provided to the vehicle body; and an output terminal that outputs the efficiency value of the monitoring target, the efficiency value being computed by the processing device, the processing device computing a load parameter of the power train, determining whether the load parameter is larger than a load determination value set in advance, computing the efficiency value of the monitoring target on the basis of input energy and output energy of the monitoring target on condition that the load parameter be larger than the load determination value, and recording the computed efficiency value of the monitoring target.

Device and method for controlling image of vehicle

A device and a method are provided for controlling an image of a vehicle for an image of a vehicle camera that does not have a built-in image signal processor (ISP). A communication device receives information on an operation mode of the vehicle from a vehicle system and a camera device that does not have a built-in ISP obtains an image of a surrounding region of the vehicle, and transmits the image of the surrounding region to a first image controller. The first image controller having a first ISP for performing image processing shares the image of the surrounding region with a second image controller having a second ISP for performing image processing. The first image controller and the second image controller alternatively have a control right for the camera device depending on the operation mode of the vehicle.

Device and method for controlling image of vehicle

A device and a method are provided for controlling an image of a vehicle for an image of a vehicle camera that does not have a built-in image signal processor (ISP). A communication device receives information on an operation mode of the vehicle from a vehicle system and a camera device that does not have a built-in ISP obtains an image of a surrounding region of the vehicle, and transmits the image of the surrounding region to a first image controller. The first image controller having a first ISP for performing image processing shares the image of the surrounding region with a second image controller having a second ISP for performing image processing. The first image controller and the second image controller alternatively have a control right for the camera device depending on the operation mode of the vehicle.

Method for controlling ESA system of a vehicle and ESA system

Provided are methods for controlling ESA system of a vehicle and an ESA system. The method includes: generating a trajectory to avoid an obstacle in front of the vehicle; obtaining a target yaw rate and yaw moment according to the trajectory; allocating the target yaw moment to one or more chassis actuators; controlling the one or more chassis actuators according to allocated yaw moments. The cooperation of actuators is implemented for more safe evasion.

Computing systems and methods for generating user-specific automated vehicle actions using artificial intelligence

Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may be configured to receive context data associated with a plurality of user interactions with a vehicle function of a vehicle. The context data may include data indicative of a plurality of user-selected settings for the vehicle function and data indicative of observed conditions associated with the respective user-selected settings. The computing system may be configured to generate, using a machine-learned clustering model, a user-activity cluster for the vehicle function based on the context data. The computing system may be configured to determine an automated vehicle action based on the user-activity cluster. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function in accordance with an automated setting based on whether the vehicle detects one or more triggering conditions.

Computing systems and methods for generating user-specific automated vehicle actions using artificial intelligence

Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may be configured to receive context data associated with a plurality of user interactions with a vehicle function of a vehicle. The context data may include data indicative of a plurality of user-selected settings for the vehicle function and data indicative of observed conditions associated with the respective user-selected settings. The computing system may be configured to generate, using a machine-learned clustering model, a user-activity cluster for the vehicle function based on the context data. The computing system may be configured to determine an automated vehicle action based on the user-activity cluster. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function in accordance with an automated setting based on whether the vehicle detects one or more triggering conditions.

SYSTEM AND METHOD FOR DYNAMIC CALIBRATION OF RADAR

A system and associated method for calibrating a radar system is described, wherein the radar system includes a phased array antenna including a first antenna array and a second antenna array, a transmitter array, and a receiver array, communication leads, a calibration circuit, and a controller. The calibration circuit includes a power divider and directional couplers. A pilot signal is injected, via the power divider and the directional couplers, to the receivers during a quiet period. Phase offsets and gain imbalances for the receivers are determined in relation to a reference channel based upon the pilot signal, and phase calibrations and gain calibrations for the receivers are determined based upon the phase offsets and the gain imbalances, and a radar-related parameter is based upon the phase calibrations and the gain calibrations for the receivers.

OPTICAL SENSOR ACTIVATION AND FUSION

An optical sensor system operative for receiving, by a processor, a first image captured by a visible light camera, determining a value of a characteristic of the first image, determining an environmental condition in response to the value being less than a threshold, activating an infrared camera in response to the environmental condition, capturing a second image by the visible light camera and a third image by the infrared camera, generating a fused image in response to the second image and the third image, detecting an object in response to the fused image, and controlling a vehicle in response to the detection of the object.

OPTICAL SENSOR ACTIVATION AND FUSION

An optical sensor system operative for receiving, by a processor, a first image captured by a visible light camera, determining a value of a characteristic of the first image, determining an environmental condition in response to the value being less than a threshold, activating an infrared camera in response to the environmental condition, capturing a second image by the visible light camera and a third image by the infrared camera, generating a fused image in response to the second image and the third image, detecting an object in response to the fused image, and controlling a vehicle in response to the detection of the object.

Braking system for an off-road vehicle

A brake control system for a vehicle includes a brake actuator operable over a range from an initial position that includes contiguous portions of displacement that are a first portion of displacement, a second portion of displacement and a third portion of displacement, a controller and an actuation sensor operatively coupled to the brake actuator. The actuation sensor sends a signal to the controller to activate a regenerative braking system using an electric motor of the vehicle if the actuation sensor detects the brake actuator is in the first portion of displacement. The regenerative braking system is activated and the friction braking system is activated when the brake actuator is in the second portion of displacement. The regenerative braking system is deactivated and the friction braking system is activated when the brake actuator is in the third portion of displacement.