Abstract: In some implementations, the EMV uses a calibration to inform autonomous control over the EMV. To calibrate an EMV, the system first selects a calibration action comprising a control signal for actuating a control surface of the EMV. Then, using a calibration model comprising a machine learning model trained based on one or more previous calibration actions taken by the EMV, the system predicts a response of the control surface to the control signal of the calibration action. After the EMV executes the control signal to perform the calibration action, the EMV system monitors the actual response of the control signal and uses that to update the calibration model based on a comparison between the predicted and monitored states of the control surface.

Abstract: Among other things, a world model is maintained of an environment of a vehicle. A hypothetical object in the environment that cannot be perceived by sensors of the vehicle is included in the world model.

Abstract: A method of providing automated application of turn radius reduction in a driver assist mode may include receiving steering wheel angle and wheel speed information to determine a target wheel slip during a turn. The method may further include comparing the target wheel slip to a current wheel slip to determine a slip error, and applying braking torque to an inside wheel based on the slip error to reduce the turn radius.

Abstract: A method for determining a reference control profile for a vehicle, including determining (A1) a plurality of control profiles for the vehicle (1) based on topographic information for one and the same future route segment and selecting (A2) one of the plurality of control profiles as a reference control profile, the selection (A2) being based on a tradeoff criterion considering resource consumption and drivability of the plurality of control profiles. The disclosure also relates to a control arrangement (2) for determining a reference control profile for a vehicle (1) and a vehicle comprising the control arrangement (2).

Abstract: A stability control system identifies an actionable condition, such as instability, in an off-road mobile machine, based upon an in-rubber tire sensor. A remedial action is identified, and a control signal is generated to control the mobile machine to take the remedial action.

Abstract: A steering control device includes an electronic control unit. The electronic control unit detects an absolute steering angle. The electronic control unit controls driving of a motor. The electronic control unit determines whether movement of a turning shaft to one of right and left sides has been limited by an end contact or execution of end contact relaxation control. The electronic control unit acquires a plurality of limit position determination angles corresponding to the absolute steering angle. The electronic control unit permits update of an end-position-corresponding angle. The electronic control unit updates the end-position-corresponding angle stored in the electronic control unit.

Abstract: A system and method for enhanced vehicle efficiency through smart automation for an onboard weather update is provided. The system comprises a processor, and a non-transitory processor readable medium including instructions, executable by the processor, to perform a method comprising: receiving vehicle data from an onboard vehicle data source; receiving real-time weather data from one or more weather data sources; detecting when onboard forecast weather data is out-of-date or irrelevant based on the vehicle data and the real-time weather data; estimating one or more potential benefits from an update of the onboard forecast weather data; and activating the update of the onboard forecast weather data.

Abstract: An approach is provided for automatic road closure detection. The approach, for example, involves designating a dynamic time window comprising one or more time epochs ending before a current time epoch. The approach also involves retrieving a first set of probe data collected from a road link during the dynamic time window. The approach further involves adjusting a size of the dynamic time window by adding or removing another time epoch ending before the current time epoch until at least one criterion related to the probe data, the dynamic time window, or a combination thereof is met. The approach further involves extracting a plurality of features from the first set of probe data, from a second set of probe data collected from the road link during the current time epoch, or a combination thereof. The approach then involves detecting a closure status of the road link based on the plurality of features.

Abstract: A transportation system is disclosed. The transportation system has a vehicle that is self-powered and configured to generate an air cushion on a trackless lane having a substantially flat surface. The vehicle is configured to move over the substantially flat surface on the air cushion. The transportation system also has a guidance system configured to guide the vehicle between peripheries of the trackless lane.

Abstract: A change point detection device includes a memory 170 that stores map information representing a structure associated with a traveling condition on and around a road, an object detection unit 162 that detects a shielding object 20 hiding the structure from an image acquired by an in-vehicle camera 110 mounted on a vehicle 100 and representing an environment around the vehicle 100, a collation unit 163 that eliminates the structure hidden by the shielding object 20 in the map information, collates the image with the map information, and calculates a coincidence degree between the image and the map information, and a change point detection unit 164 that determines, when the coincidence degree is less than or equal to a predetermined threshold value, that the structure represented in the image has a change point different from the corresponding structure represented in the map information.

Abstract: A method comprises receiving a service request from a vehicle, obtaining environment data with one or more sensors, determining a vehicle type of the vehicle based on the service request, determining service data responsive to the service request based on the vehicle type of the vehicle and the environment data, and transmitting a service message comprising the service data to the vehicle.

Abstract: Techniques associated with generating and maintaining sparse geographic and map data. In some cases, the system may maintain a factor graph comprising a plurality of nodes. In some cases, the nodes may comprise pose data and sensor data associated with an autonomous vehicle at the geographic position represented by the node. The nodes may be linked based on shared trajectories and shared sensor data.

Abstract: Systems and methods for printed multifunctional skin are disclosed herein. In one embodiment, a method of manufacturing a smart device includes providing a structure, placing a sensor over an outer surface of the structure, and placing conductive traces over the outer surface of the structure. The conductive traces electrically connect the sensor to electronics.

Abstract: A system for monitoring wear on ground engaging tools of an agricultural implement includes a ground engaging tool supported relative to a frame of the agricultural implement, the ground engaging tool configured to rotate with engagement of the ground during operation of the agricultural implement, a non-contact sensor configured to detect a parameter indicative of wear on the ground engaging tool, and a controller communicatively coupled to the non-contact sensor. The controller is configured to determine a status of the wear on the ground engaging tool based on sensor data received from the non-contact sensor.

Abstract: A method for generating navigation routes for a vehicle includes: receiving an origin position, in a road network, of the vehicle; receiving a destination position, in the road network; receiving a user preference from a user interface device, the user preference indicating a tradeoff value having one of a plurality of values between travel time and energy efficiency; computing a time value for each of a plurality of road segments of the road network using a time consumption model; computing an energy consumption for each of the plurality of road segments of the road network using an energy consumption model; identifying a weighted route from the origin position to the destination position based on the time value and the energy consumption for the road segments and based on the user preference; and supplying the identified weighted route to a navigation system of the vehicle.

Abstract: A positioning detection device includes a first obtaining circuit to obtain a satellite signal, a second obtaining circuit to obtain a detection signal of an inertial device, a third obtaining circuit to obtain a traveling state of the vehicle body including straight-traveling and turning of the vehicle body, a first calculator to calculate first positioning information in a satellite navigation system to which the satellite signal is applied, a second calculator to calculate second positioning information in an inertial navigation system to which the detection signal is applied, a third calculator to calculate third positioning information in a hybrid navigation system to which the first positioning information and the second positioning information are applied, and an output circuit to output the third positioning information upon obtaining the straight-traveling and to output the first positioning information and/or the second positioning information upon obtaining the turning.

Abstract: Systems and methods are described herein for determining an optimized flight route for an aerial vehicle. In some examples, weather conditions for the aerial vehicle during a flight can be predicted based on weather data. At least two flight route segments based on the predicted weather data can be determined. The at least two flight route segments can include one of a solar flight route segment and a thermal flight route segment. A respective flight route segment of the at least two flight route segments can be discarded that can cause the aerial vehicle to violate a flight constraint. A replacement flight route segment for the respective discarded flight route segment can be determined. An optimized flight route for the aerial vehicle can be generated based on the replacement flight route segment and at least one remaining flight route segment of the at least two flight route segments.

Abstract: Systems and methods relating to controlling a driving system operatively coupled to a vehicle are disclosed. A location is identified using one or more sensors included with the vehicle. An input of the driving system is identified using the location. A desired output of the driving system is determined using the input.

Abstract: This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a road layout based on a Frenet-Serret coordinate system of the road for the vehicle. The trajectory of the vehicle is combined with the road layout to predict an aerial view of the road, and the aerial view of the road is used to at least partially autonomously drive the vehicle. In some embodiments, the machine learning model is applied to process the forward-facing view to determine a first location of each of an obstacle vehicle in the Frenet-Serret coordinate system. The first location of the obstacle vehicle is converted to a vehicle location on the aerial view of the road.

Abstract: Disclosed are a driving guide system and method. The driving guide system includes an input unit configured to receive signal information from a signal controller, a memory in which a driving guide program using the signal information is embedded, and a processor configured to execute the program. When it is not possible to recognize a traffic light using a camera, the processor determines a driving behavior using the signal information and then performs autonomous driving according to the driving behavior or provides a notification to a driver.