Abstract: A method for monitoring an electrical system of a motor vehicle. A safety-related electrical consumer and possibly further electrical consumers are supplied by an energy accumulator. At least one model of the vehicle electrical system is provided which represents the safety-related electrical consumer and corresponding lines with associated line resistances and connection to the energy accumulator.

Abstract: The disclosure relates to an operating method for an autonomously operatable device. According to the method, sensor data relating to a current surroundings condition of the device are detected using at least one sensor device in an autonomous operating mode, and the sensor data is supplied to a control algorithm which is implemented as a machine learning algorithm and which learns in a self-contained manner. The control algorithm estimates the current surroundings condition of the device on the basis of the sensor data and makes a control decision. A degree of quality relating to the control decision is ascertained using a monitoring algorithm which is independent of the control algorithm, and the device is operated according to the control decision depending on the ascertained degree of quality of the control decision or the control decision is rejected and the device is set to a secure operating state.

Abstract: An apparatus (1) for calibrating an ADAS sensor of a vehicle (9) comprises: a base unit (2) including a plurality of wheels (20); a support structure (3) integral with the base unit (2); a vehicle calibration assistance structure (4), mounted on the support structure (3) and including a calibration device (41, 42) configured to facilitate aligning or calibrating the ADAS sensor; a position detector, configured to capture values of a position parameter representing a position of the support structure (3) relative to the vehicle (9); a processing unit, configured to process the values of the position parameter in real time to derive information regarding an actual position of the support structure (3) relative to the vehicle (9).

Abstract: The subject disclosure relates to features for improving wheelchair accessibility in autonomous vehicles (AVs) and in particular, for enabling automatic ingress/egress of a wheelchair ramp to facilitate the loading and unloading of a passenger wheelchair. In some aspects, a process of the disclosed technology includes steps for identifying one or more visual reference features on at least one surface of an autonomous vehicle (AV), automatically deploying a ramp to facilitate ingress of a wheelchair, and tracking ingress of the wheelchair based on the one or more visual reference features. Systems and machine-readable media are also provided.

Abstract: Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Abstract: A propulsion control system for a marine vessel includes a memory and a controller coupled to the memory. The controller is configured or programmed to, while performing dynamic positioning control of the marine vessel or in a case in which the marine vessel has changed to a mode in which the marine vessel is kept at a certain location, perform deceleration control to reduce a bow direction speed of the marine vessel. Alternatively, the controller is configured or programmed to, in a case in which the marine vessel has changed to a mode in which the marine vessel moves along a predetermined route, when the marine vessel deviates from the predetermined route in a bow direction of the marine vessel, perform deceleration control to prevent the marine vessel from moving in the bow direction.

Abstract: A vehicle including a powered running board, a motor for positioning the powered running board between a stowed position and a deployed position, a sensor configured to capture data of activity around the vehicle, and an electronic control unit configured to process the data captured by the sensor to detect an unauthorized event around the vehicle, and operate the motor to repeatedly move the powered running board in a predetermined pattern based on at least one of position and a speed in response to the sensor detecting an unauthorized event around the vehicle.

Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).

Abstract: An electric automotive vehicle gross vehicle rating of greater than 10,000 pounds includes an electric powertrain connected to the frame and positioned at a base of the frame. The vehicle includes a first central axis, and the weight of the electric powertrain is centered about the first central axis. All drivetrain components of the vehicle other than the electric powertrain may be positioned above the base of the electric powertrain. The vehicle includes two electric drive units configured to drive the front and rear axles respectively. The electric drive units consist of an electric motor, motor controller, two speed electrically actuated gearbox, electrically actuated park lock, and electrically actuated locking differential. The drive units transmit power to inboard mounted brakes, which in turn are connected by constant velocity driveshaft to the wheel hubs where a further final gear reduction resides.

Abstract: In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.

Abstract: An electronic control device comprises a sensor information acquisition unit which acquires state quantities including a position of an object to be measured using an output of a plurality of sensors, or calculates the state quantities of the object to be measured by using the output of the plurality of sensors, a storage unit which stores position determination information as a condition of a classification related to the position, a position determination unit which classifies the object to be measured by using the position determination information, and a fusion unit which determines, by referring to the state quantities, a match among a plurality of the objects to be measured which are classified identically by the position determination unit and which were measured by different sensors, and fuses the positions of the plurality of objects to be measured determined to be a match, wherein the objects to be measured are objects that can be measured by each of the plurality of sensors.

Abstract: A shovel includes a lower traveling structure, an upper swing structure swingably mounted on the lower traveling structure, a work attachment attached to the upper swing structure and including a boom, an arm attached to the boom, and an end attachment attached to the arm, a first obtaining device configured to obtain data on the pose state of the work attachment, and a second obtaining device configured to obtain data on the pose state of the lower traveling structure or the upper swing structure. Predetermined control related to the movement of the work attachment is executed based on the data obtained by the first and second obtaining devices. Information on the type of the end attachment is obtained, and a response characteristic of the work attachment or the details of an operation for the work attachment during the predetermined control are corrected based on the obtained information.

Abstract: A method for securing a motor vehicle with at least one wheel brake during an automated driving maneuver includes, in order to carry out the automated driving maneuver, setting a hydraulic pressure at the wheel brake in order to generate a defined braking force large enough to securely arrest the motor vehicle during the execution of the automated driving maneuver. The method further includes keeping the hydraulic pressure which is set at the wheel brake essentially constant during the execution of the automated driving maneuver. The method may be implemented in a device.

Abstract: A vehicular control system includes a forward-viewing camera, a forward-sensing sensor and an in-cabin-sensing sensor. With the system controlling driving of the vehicle, the system determines a triggering event that triggers handing over driving of the vehicle to a driver of the vehicle before the vehicle encounters an event point associated with the triggering event. The vehicular control system (i) determines a total action time available before the vehicle encounters the event point, (ii) estimates a driver takeover time for the driver to take over control of the vehicle and (iii) estimates a handling time for the driver to control the vehicle to avoid encountering the event point. Responsive to the vehicular control system determining that the estimated driver takeover time is less than the difference between the determined total action time and the estimated handling time, control of the vehicle is handed over to the driver of the vehicle.

Abstract: It is intended to allow an appropriate route search to be performed even with a geographical NW in which accessibility information includes an uninvestigated link. A route appropriateness value calculation unit 160 calculates, for each of a plurality of routes each connecting a departure point and a destination extracted by a route extraction unit 120 and including links connecting individual spots including the departure point and the destination, a route appropriateness value of the route.

Abstract: An anomaly determination apparatus for a vehicle that includes a transmission includes an execution device and a memory device. The memory device is configured to store map data that defines pre-trained map, which has been trained through machine learning. When a variable representing time-series data of a rotation speed of a gear is fed to the map as an input variable, the map outputs a state variable representing a state of the gear as an output variable. The execution device is configured to execute: an obtaining process that obtains the variable representing the time-series data as a value of the input variable; and a determination process that determines whether there is an anomaly in the transmission based on a value of the output variable that is output by the map when the value of the input variable is fed to the map.

Abstract: Based on information sensed by a work phase sensing unit, a work phase by a work implement is distinguished. Correction of boom pressure is switched when distinction of excavation in the work phase is switched.

Abstract: A method for calibrating an ADAS sensor of an advanced driver assistance system of a vehicle (9) comprises the following steps: (A) deriving an attitude parameter of the vehicle (9); receiving the derived attitude parameter in a control unit (11); (B) comparing the derived attitude parameter with a corresponding reference parameter; (C) aiding with the positioning of a support structure (3) near the service area (8), where a calibration device (41) is mounted on the support structure (3); sending a calibration command from the control unit (11) to an electronic control unit (95) of the vehicle (9) to determine an interaction between the ADAS sensor and the calibration device (41); processing data received from the electronic control unit (95) of the vehicle (9) in the control unit (11).

Abstract: A method comprises obtaining smart seat sensor data, the smart seat sensor data being detected by a tactile-sensitive surface material of a seat of an autonomous vehicle in response to a user interacting with the tactile-sensitive surface material. Other sensor data is obtained from one or more other sensors disposed within the autonomous vehicle. The smart seat sensor data and the other sensor data are integrated. A behavior of the user is estimated based on the integrated data, and the autonomous vehicle is controlled based on the estimated behavior of the user.

Abstract: Implementations a method using a collision detection device associated with a user to detect a moving object in an environment and provide an alert to the user are provided. In some implementations the environment comprises at least one transmitter of opportunity. In some implementations, the collision detection device comprises a receiver and a processor. In some implementations, the method comprises receiving at the collision detection device Wi-Fi signals reflected from the moving object where the Wi-Fi signals originate from a Wi-Fi source not associated with the moving object. The method further comprises detecting, measuring, and tracking the Doppler effect of the Wi-Fi signals at the collision detection device to track velocity vector relative to the collision detection device. The method further comprises calculating the time of arrival of the moving object based on the velocity vector relative to the location of the collision detection device.