Abstract: The disclosure includes embodiments including a vehicular edge server switching mechanism based on historical data and digital twin simulations. A method includes causing a sensor set of a connected vehicle to determine a current driving context of the connected vehicle. A method includes comparing the current driving context to a set of digital twin data and a set of historical data to determine a predicted latency for using offboard computing resources of an edge server. The method includes determining that the predicted latency for using the offboard computing resources satisfies a threshold for the predicted latency. The method includes executing a switching decision that includes deciding to use the offboard computing resources of the edge server based on the comparing of the current driving context to the set of digital twin data and the set of historical data and the determining that the threshold for the predicted latency is satisfied.

Abstract: Disclosed is a collision avoidance assisting apparatus which can execute an automatic braking process and an automatic steering process for avoiding collision with an obstacle. When the magnitude of a steering angle exceeds a predetermined threshold, the collision avoidance assisting apparatus determines that a driver has an intention of avoiding the collision by a steering operation and stops the automatic braking process and the automatic steering process. However, in such a case, the automatic braking process and the automatic steering process may be stopped when the steering angle exceeds the threshold as a result of execution of the automatic steering process. In view of this, when both the automatic braking process and the automatic steering process are being executed, the collision avoidance assisting apparatus continues the automatic braking process and the automatic steering process even when the magnitude of the steering angle is greater than the predetermined threshold.

Abstract: An example method comprises receiving a number of inputs to a system employing an artificial neural network (ANN), wherein the ANN comprises a number of ANN partitions each having respective weight matrix data and bias data corresponding thereto stored in a memory. The method includes: determining an ANN partition to which the number of inputs correspond, reading, from the memory the weight matrix data and bias data corresponding to the determined ANN partition, and a first cryptographic code corresponding to the determined ANN partition; generating, using the weight matrix data and bias data read from the memory, a second cryptographic code corresponding to the determined ANN partition; determining whether the first cryptographic code and the second cryptographic code match; and responsive to determining a mismatch between the first cryptographic code and the second cryptographic code, issuing an indication of the mismatch to a controller of the system.

Abstract: The invention relates to a method and a control unit for controlling a hybrid driveline comprising an internal combustion engine (ICE) and at least one alternative propulsion unit. The method involves monitoring a predetermined first parameter related to vehicle operation and a second parameter related to the state of an exhaust particle filter, wherein a particle filter regeneration is scheduled when the predetermined second threshold is exceeded. If the first parameter has exceeded or is expected to exceed a predetermined first threshold within a set time period prior to a scheduled particle filter regeneration; then initiation of an on-board diagnostic process is delayed until the particle filter regeneration has been completed. Subsequently, the hybrid driveline is controlled to perform a particulate filter regeneration at the scheduled time and the ICE is operated to perform the on-board diagnostic process.

Abstract: Reduction of minimum turning radius of an aerial work platform. Drive motors are provided to driven wheels of the platform respectively, so that the driven wheels can be independently controlled in terms of rotational speed and rotation direction. When the steering angle of steered wheels is at most a first steering angle, constant velocity control is performed, driving both of the driven wheels in the same rotation direction and at the same rotational speed. When the steering angle exceeds the first steering angle and is at most a second steering angle, differential control is performed, reducing the rotational speed of the driven wheel on the inside in the turning direction relative to the driven wheel on the outside in the turning direction. When the steering angle exceeds the second steering angle, counter-rotation control is performed, counter-rotating the driven wheel that is on the inside in the turning direction.

Abstract: The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.

Abstract: In one aspect, a system for monitoring the performance of ground engaging components of an agricultural implement may include a ground engaging component configured to rotate relative to soil within a field as the agricultural implement is moved across the field. The system may also include a sensor configured to detect a parameter indicative of a rotational speed of the ground engaging component. Furthermore, the system may include a controller communicatively coupled to the sensor. The controller may be configured to monitor the rotational speed of the ground engaging component based on measurement signals received from the sensor and compare the monitored rotational speed to a baseline rotational speed value. Additionally, the controller may be configured to initiate a control action when it is determined that the monitored rotational speed has crossed the baseline rotational speed value a threshold number of times during a given time interval.

Abstract: A motor controller includes a temperature estimator that estimates a temperature of an element in a motor driver circuit that drives a motor, or a temperature of a winding of the motor, and a non-volatile memory that provides a first area and a second area for storing the estimated temperature. The temperature estimator writes the estimated temperature to both of the first area and the second area.

Abstract: The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

Abstract: The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.

Abstract: The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.

Abstract: An object recognition apparatus for recognizing an object is provided. The apparatus includes first and second object determinations units configured to determine the object based on at least detection results of the object by first and second sensors and at least detection results of the object by third and fourth sensors, respectively; an object recognition unit configured to recognize the object based on a determination result by the first and/or second object determination unit; first and second calculation units configured to calculate a difference between the detection result by the first sensor and the detection result by the second sensor and a difference between the detection results by the third and fourth sensor, respectively; and a reliability decision unit configured to decide reliabilities of the determination results by the object determination units based on calculation results by the calculation units.

Abstract: A driver assistance system in a motor vehicle takes into consideration a target speed, in particular in order to regulate the speed at a specified target speed, and includes a detection system for detecting upcoming events which require an adaptation of the target speed; a functional unit which triggers a request notification output to approve an automatic adaptation of the target speed to a new target speed at a defined point in time when an upcoming event is detected that requires an adaptation of the target speed; a notification system for outputting the request notification to the driver after the defined point in time; and an operating element which is designed to allow a clearance to approve the automatic adaptation to the new target speed when the request notification has been output and the operating element has been actuated. In response to the clearance, the functional unit automatically triggers the adaptation of the target speed to the new target speed.

Abstract: A collision avoidance device includes an electronic control unit configured to: determine whether or not an oncoming vehicle enters inside a turning circle of a host vehicle turning; and execute a collision avoidance control in a case where the electronic control unit determines that there is a collision possibility between the host vehicle and the oncoming vehicle, wherein the electronic control unit is configured not to execute the collision avoidance control when the electronic control unit determines that the oncoming vehicle enters inside the turning circle of the host vehicle.

Abstract: A driveline for a vehicle and its method of operating are described. The driveline may have a power source and a front axle assembly drivingly engaged or selectively drivingly engaged with the power source. The front axle assembly may have a front left half shaft, a front right half shaft, a front left torque transmission control mechanism configured to control the transmission of torque to the FL half shaft, and a front right torque transmission control mechanism configured to control the transmission of torque to the FR half shaft. The driveline may also have a rear axle assembly drivingly engaged or selectively drivingly engaged with the power source. The rear axle assembly may have a rear left half shaft, a rear right half shaft, a rear left torque transmission control mechanism configured to control the transmission of torque to the RL half shaft, a rear right torque transmission control mechanism configured to control the transmission of torque to the RR half shaft.

Abstract: A network computing system can configure sets of expedition proposals for service providers, which are each selectable to commit the service provider to a dynamic expedition coordinated in real-time by the network computing system. Partitioned service areas may be scored in accordance with utilization conditions, and a dynamic trajectory can be generated based on the scored service areas for individual service providers. The network computing system can provide navigation instructions to the service provider along an updated recommended route based on the dynamic trajectory, until expiration of the dynamic expedition.

Abstract: Autonomous vehicles may include one or more onboard devices to perform various actions, such as a still image capture device. In contrast with using an auxiliary communication system to control a payload, a vehicle navigation sensor is used to monitor autonomous vehicle movements to match a predefined vehicle maneuver event, and trigger a payload event based on identification of the vehicle maneuver event. For example, this allows an autopilot system or a remote drone pilot to initiate an image capture device or send other commands based on vehicle maneuver event recognition.

Abstract: A system comprising a mobile machine for collecting a plurality of bales dispersed across a ground surface, and one or more computing devices. The one or more computing devices are configured to receive location and orientation information for the plurality of bales, the location and orientation information including a location and an orientation of each of the bales, using the location and orientation information, automatically determine a preferred bale stacking location and a preferred path for collecting the bales, the preferred path for collecting the bales including placing the bales in the preferred stacking location, and present information about the preferred path to an operator of the machine.

Abstract: A lane departure avoidance system includes: a recognition unit that recognizes a road edge of the road, and recognizes an outer line as a dividing line drawn on a road-edge side of a lane closest to the road edge; and an assist implementation unit that provides, within an area including the lane closest to the road edge and extending to the road edge, a forbidden position over which a vehicle is forbidden from going toward the road edge, and implements traveling assistance such that the vehicle does not go over the forbidden position. The system includes a shoulder width calculation unit that calculates, as a shoulder width, a width from the outer line to the road edge. The wider the shoulder width calculated by the shoulder width calculation unit is, the closer the forbidden position is set to the road edge by the assist implementation unit.

Abstract: Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A first autonomous vehicle may receive a communication from a second autonomous vehicle travelling on the same road as the first autonomous vehicle, where the communication includes an indication of a maneuver which will be performed by the second autonomous vehicle. The first autonomous vehicle may then analyze the communication to identify a first maneuver for the first autonomous vehicle in response to the second maneuver performed by the second autonomous vehicle. Thus, the first autonomous vehicle may move in accordance with the first maneuver.