Abstract: A method for predicting at least one future velocity vector and/or a future pose of a pedestrian in an area of prediction. A map of a surrounding environment of the pedestrian and current velocity vectors of other pedestrians in the area of prediction are taken into account in the prediction.

Abstract: A supervisory control system is disclosed that provides an operator situational awareness interface use with monitoring a plurality of automated vehicles (AVs). The system is configured to: generate a map of a geographical area of interest; obtain location data and perceived risk data for a plurality of AVs in the geographical area; generate a vehicle icon corresponding to each AV; position the vehicle icon for each AV on the map based on the location data for a corresponding AV; apply a color coding to each vehicle icon based on a perceived risk level for a corresponding AV; and signal a display device to display an AV fleet map graphic that includes the color coded vehicle icons positioned on the map. The controller may be further configured to: generate an AV servicing queue graphic that displays vehicle icons in an order based on a determined servicing priority.

Abstract: A work vehicle includes a steering wheel on a rear side with respect to a display, in front of a driver seat, and that includes spokes and a ring-shaped portion connected to the spokes. An opening is between the spokes and the ring-shaped portion. The work vehicle further includes a steering controller to change a steering angle of a steerable wheel based on a wheel angle that is a rotation angle of the steering wheel about a wheel rotation shaft, and an adjuster to adjust a relationship between the wheel angle and the steering angle.

Abstract: A longitudinal and lateral vehicle motion cooperative control method based on a fast solving algorithm comprises the following steps: calculating a desired yaw rate according to a steering wheel rotation angle and a current vehicle traveling speed; constructing a nonlinear optimization problem according to the desired yaw rate and a current actual motion state of a vehicle, wherein an objective function of the nonlinear optimization problem is used for tracking the desired yaw rate, and simultaneously for restraining a lateral speed and a tire slip ratio of the vehicle; solving the nonlinear optimization problem to calculate desired slip ratios of four tires; calculating an additional torque of each tire according to an actual slip ratio and the desired slip ratio of the tire; and sending the additional torque of each tire to an actuator of the vehicle for cooperative control.

Abstract: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.

Abstract: An autonomous vehicle having sensors advantageously varied in capabilities, advantageously positioned, and advantageously impervious to environmental conditions. A system executing on the autonomous vehicle that can receive a map including, for example, substantially discontinuous surface features along with data from the sensors, create an occupancy grid based upon the map and the data, and change the configuration of the autonomous vehicle based upon the type of surface on which the autonomous vehicle navigates. The device can safely navigate surfaces and surface features, including traversing discontinuous surfaces and other obstacles.

Abstract: A system for a remotely controllable material handling vehicle switchable between a manual mode and a travel request mode is provided. The system can include a control handle configured to at least control a speed and direction of the material handling vehicle when the material handling vehicle is in the manual mode and a remote control device in communication with the material handling vehicle and configured to provide a request to the material handling vehicle to move forward. The system can also include a mode switch configured to switch the material handling vehicle from the manual mode to the travel request mode and an operator compartment sensor configured to trigger a flag when a weight on a floor of an operator compartment of the material handling vehicle is greater than or equal to a predetermined weight.

Abstract: A vehicle height control apparatus includes an information acquisition device that acquires pressure data on a pressure inside an air tank storing compressed air and obstacle data on an obstacle in front of a vehicle, and a controller that calculates a target vehicle height based on the obstacle data, calculates a required distance required to reach the target vehicle height based on the pressure of the compressed air inside the air tank, and determines a vehicle height control timing, resolving a problem that the vehicle height is unnecessarily quickly controlled compared to the position of the obstacle, or is controlled after the vehicle passes through the obstacle to reduce the ride comfort.

Abstract: The preview damping control includes an ECU. When the vehicle is traveling within a communications disruption area in which a radio communication device is hard to communicate with a cloud, the ECU uses road surface displacement correlating information that has been stored in an on-board memory device in advance for the communications disruption area so as to perform a preview damping control.

Abstract: Unmanned vehicles may be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may accomplish tasks by breaking out into sub-drones, re-grouping itself, changing form, or re-orienting its sensors.

Abstract: Systems and methods for selecting a charging entity based on occupancy status are provided. In one embodiment, a method includes determining a current geo-location and state of charge of a requesting vehicle. A plurality of charging entities that are within a remaining distance of the requesting vehicle are identified. Occupancy statuses for one or more charging entities of the plurality of charging entities are determined. The method also includes estimating charging speeds for the one or more charging entities based on the occupancy statuses. A charging station map user interface that pin points the current geo-location of the requesting vehicle and the one or more charging entities is presented. The one or more charging entities are presented with labels based on the charging speeds. The method further includes reserving a charging station of a selected charging entity of the plurality of charging entities by selecting a label.

Abstract: A vehicle collision avoidance method includes receiving host vehicle driving information, receiving remote vehicle driving information, generating a host vehicle position function and a remote vehicle position function, setting a transformation coordinate system, calculating a rotation angle, transforming the host vehicle position function and the remote vehicle position function to a transformed host vehicle position function and a transformed remote vehicle position function, respectively, using the rotation angle, determining a collision possibility between the host vehicle and the remote vehicle using the transformed host vehicle position function and the transformed remote vehicle position function, and controlling the host vehicle depending on the collision possibility.

Abstract: An autonomous driving control method for stopping a host vehicle such that an inter-vehicle distance to a preceding vehicle is a predetermined at-stopping inter-vehicle distance includes: executing first stop control of setting the at-stopping inter-vehicle distance to a first at-stopping inter-vehicle distance shorter than a predetermined basic at-stopping inter-vehicle distance when a stop position of the host vehicle is within a forward stop limit area set in front of a crossing lane, and/or executing second stop control of setting the at-stopping inter-vehicle distance to a second at-stopping inter-vehicle distance longer than the basic at-stopping inter-vehicle distance when the stop position of the host vehicle is within a rearward stop limit area set behind the crossing lane.

Abstract: The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: A wheelie suppressing control unit includes: a first determiner that determines whether a vehicle is in a traveling state satisfying a first condition representing a wheelie state; a second determiner that determines whether the vehicle is in a traveling state satisfying a second condition representing a pre-wheelie state which is a state preceding the wheelie state; and a controller that controls the vehicle based on an operation input. If the first determiner determines that the first condition is satisfied, the controller executes first control that reduces the output of a drive source of the vehicle. If the first determiner determines that the first condition is not satisfied and the second determiner determines that the second condition is satisfied, the controller executes second control that restricts a rate of change of the output with respect to the operation input provided to an operation member.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A vehicle traveling control device includes: a communicator periodically receiving a dynamic map; a sensor management circuit collecting, from one or more sensors measuring a state of objects around a vehicle, a result of measurement representing the state of objects around the vehicle; a surrounding information comparator comparing object data represented by the dynamic map with object data represented by the result of measurement, and in response to finding mismatching object data, detecting, from the mismatching object data, data of the dynamic map representing an object within a specified range from the vehicle; and a proximity information processor setting, from the data of the dynamic map detected by the surrounding information comparator, data representing the vehicle as an avoidance non-target object in traveling control, and setting data representing an object other than the vehicle as an avoidance target object in traveling control or the avoidance non-target object.

Abstract: A control system is disclosed for use in a zero turn vehicle, including an electric controller in communication with a pair of independent drive units. A joystick is pivotable between a plurality of pivot positions, each pivot position corresponding to a particular rotational speed and direction of each driven wheel. A plurality of driving modes stored in the controller each map a different set of speeds and directions for each driven wheel onto the plurality of pivot positions. The joystick may also rotate about a vertical axis to provide zero turn capability. In at least one driving mode, when the rotational speed of one driven wheel is zero, the rotational speed of the other driven wheels is zero, and when the rotational speed of one driven wheel is non-zero, the rotational speed of the other driven wheel is non-zero.

Abstract: Data is received regarding vehicle braking events, each event occurring on one of a plurality of vehicles, and each event associated with a location. A determination is made that the braking events correspond to a pattern. Based on determining that the braking events correspond to the pattern, a first location is identified. In response to identifying the first location, at least one action is performed.