A handle assembly for a closure of a vehicle includes a force-based sensor disposed beneath an uninterrupted class-A surface and responsive to a force applied thereto. The handle assembly includes a handle ECU, configured to monitor the force-based sensor and to communicate with an electronic latch controller. A super-capacitor is disposed on a PCB within the handle assembly for providing electrical power to the handle ECU and the force-based sensor. The handle ECU includes one or more feedback devices such as LED lights, acoustic, and haptic devices to provide information about the status of the closure and the electronic latch system. The handle assembly is also configured to provide different responses to two or more different levels of force applied to the force-based sensor. An output interface in the handle assembly provides wired and wireless backup communications to the electronic latch controller.

A vehicle control apparatus includes a second display device which is connected to a driving support ECU, and a meter ECU. The driving support ECU performs a plurality of diving support functions by executing a plurality of driving support controls. The meter ECU hides an integrated telltale image in a predetermined area of the second display device when all of a plurality of recommended driving support functions selected among the driving support functions have been set in the valid states. The meter ECU displays the integrated telltale image in the predetermined area of the second display device when at least one of the recommended driving support functions which has been set in the invalid state is present.

An electrified tractor includes a vehicle body, a working machine, an electric motor, a battery, an inverter that controls input-output electric power of the battery. The electrified tractor includes a control device that controls the inverter. The control device executes a restriction process, a charging rate calculation process and a relaxation process. In the restriction process, the control device controls the inverter such that the input and output of the battery is restricted within a prescribed electric power range, when a state of the battery satisfies a restriction condition. In the charging rate calculation process, the control device calculates a charging rate of the battery when it is assumed that a work is finished in a farming field, as an estimated charging rate. In the relaxation process, the control device expands the prescribed electric power range, when the estimated charging rate is higher than a first prescribed charging rate.

A method, apparatus, and system are described. The method includes generating a set of current values associated with at least one component included on a moving vehicle and providing the set of current values over a wireless network. The values are generated by one or more sensors. An edge computing device receives the current values. The method further includes processing the set of current values in real-time using at least one machine learning algorithm to identify a value of a point in time for a failure of one of the at least one component based on the set of current values and at least one set of past values received. The past values are stored in a memory. The set of current values are transmitted with a low time latency between the generating the set of current values and the processing of the set of current values.

According to one embodiment, a method, computer system, and computer program product for using mobile devices for anomaly detection in a vehicle. The present invention may include a computer receives sensor data from at least one mobile device associated with the vehicle, where the mobile device having one or more sensors. The computer analyzes data from the one or more sensors to identify an anomaly associated with the vehicle. The computer identifies a message associated with the anomaly. The computer determines an urgency value of the message based on the anomaly. The computer transfers the message with the urgency value to the vehicle and causes the vehicle to notify the message using a vehicle notification device.

This invention provides a system for intuitive human-machine interface. The system includes a visual device, an audio device, a haptic device, and a system of chip. The system of chip receives a data transmitted from one of the following groups including at least one electronic control unit, an advanced driver assistance system, a center informative display, and at least one communication system. It determines a first feedback level to which the data matches and drives the visual device, the audio device, and the haptic device to perform difference feedback operations according to the first feedback level, to provide an intuitive cognition message to a driver.

A carwash device receives vehicle state information transmitted from a vehicle control device of a vehicle. The carwash device controls so as to drive a drive section for washing the vehicle based on the received vehicle state information.

An implement management system detects implement wear and monitors implement states to modify operating modes of a vehicle. The system can determine implement wear using the pull of the implement on the vehicle, the force and angle of which is represented by an orientation vector. The system may measure a current orientation vector and determine an expected orientation vector using sensors and a model (e.g., a machine learned model). Additionally, the implement management system can determine an implement state based on images of the soil and the implement captured by a camera onboard the vehicle during operation. The system may apply different models to the images to determine a likely state of the implement. The difference between the expected and current orientation vectors or the determined implement state may be used to determine whether and how the vehicle's operating mode should be modified.

A system for electric aircraft navigation includes a sensor configured to detect a navigation signal, a flight controller, wherein the flight controller is configured to receive the navigation signal, identify a navigation status as a function of the navigation signal, and determine an aircraft adjustment as a function of the navigation status, and a pilot display, wherein the pilot display is configured to display the aircraft adjustment to a user, and present an autonomous function configured to enact the aircraft adjustment automatically.

An information processing device includes: a decision unit that decides upper limits of respective individual evaluation values for a plurality of calculation items such that a total of the upper limits is a previously determined value, the individual evaluation values being relevant to driving of a driver, the calculation items being calculation items for which the individual evaluation values are calculated; an acquisition unit that acquires vehicle information relevant to a vehicle; a calculation unit that calculates the respective individual evaluation values for the calculation items within the upper limits decided by the decision unit, based on the vehicle information acquired by the acquisition unit; and a control unit that displays, on a display unit, the respective individual evaluation values for the calculation items that are calculated by the calculation unit and a total evaluation value that is a total of the respective individual evaluation values for the calculation items.