Abstract: A driving assistance system for automated driving of a vehicle includes at least one processor unit, which is designed to perform the following when the driving assistance system is carrying out a maneuver of turning onto a street: to determine, on the basis of environment data of an environment sensor system of the vehicle, whether another, on-coming road user is blocking a lane of the street which corresponds to the vehicle; and when it is determined that the other road user is blocking the lane of the street which corresponds to the vehicle to carry out a situation evaluation in order to determine whether the vehicle should back up in order to allow the other road user to exit the street or whether the other road user should be requested to clear the lane by backing up.

Abstract: An embodiment system for controlling switching to a manual driving mode of an autonomous vehicle includes a steering controller configured to determine whether a steering angle is changed according to operation of a steering wheel by a driver, a braking controller configured to apply braking torque to a braking device of each wheel, a motor controller configured to apply individual regenerative braking torque and driving torque to each wheel, and an autonomous driving controller configured to determine a control torque for maintaining straight-ahead driving and to issue an instruction using a feedforward control scheme when a steering angle change signal according to the operation of the steering wheel by the driver is received from the steering controller in a transition section in which an autonomous driving mode is switched to the manual driving mode during high-speed straight-ahead driving of the autonomous vehicle.

Abstract: In an embodiment, a set of parameters associated with a vehicle routing problem is received. A set of decision variables and a set of constraints associated with an optimization problem are received. An optimization problem is constructed. The optimization problem is divided into a set of sub-problems. Each of the set of sub-problems corresponds to a subset of warehouses of a set of warehouses. An intermediate solution is determined for each of the set of sub-problems to determine a set of routes associated with the corresponding sub-problem of the set of sub-problems. The intermediate solution associated with each of the set of sub-problems is combined to determine a final solution of the optimization problem based on the received set of constraints. The determined final solution is indicative of the set of optimal routes to be assigned to the set of vehicles. The final solution is rendered on a display device.

Abstract: A controller for a hybrid electric vehicle. The hybrid electric vehicle includes an engine, a motor generator, a clutch arranged between a crankshaft and the motor generator, and a catalyst arranged in an exhaust passage. The controller includes first processing circuitry that executes a catalyst warming process that warms the catalyst under a situation in which the hybrid electric vehicle is at a standstill and second processing circuitry configured to control the clutch and the motor generator. The first processing circuitry requests the second processing circuitry to prohibit disengagement of the clutch when the catalyst warming process is executed.

Abstract: An alert apparatus starts alerting a driver of a host vehicle, when an oncoming vehicle, that is an other vehicle traveling in an oncoming lane with respect to a traveling lane in which the host vehicle is traveling so as to approach the host vehicle and that is predicted to pass through on a specific direction side with respect to a current position of the host vehicle, is present, a turn signal indicator of the host vehicle corresponding to the specific direction side is being operated, and it is likely that the host vehicle starts turning to the specific direction side.

Abstract: Proposed is an object information generating system including an object detector generating object information on the basis of object detection signals and a processor controlling the object detector. The processor determines an area of interest of a field of view (FOV) of the object detector and generates the object information for the area of interest with the object detector.

Abstract: A vehicle control system includes a central ECU (Electronic Control Unit), a first ECU and a second ECU. The first ECU outputs an event signal, which expresses that an event relating to a vehicle has occurred, to the central ECU. In response to acquisition of the event signal, the central ECU refers to setting information in which the event and an action which are set in advance, on a per user basis, correspond to one another, and outputs a control signal, which instructs execution of the action corresponding to the event that occurred, to the second ECU. In response to acquisition of the control signal, the second ECU executes the action corresponding to occurrence of the event.

Abstract: Disclosed are a vehicle and a vehicle occupant check method. The vehicle occupant check method comprises checking whether a vehicle occupant is inside a vehicle based on a first preset condition, comprising checking a presence of the vehicle occupant inside the vehicle through a detection sensor, when a current driver of the vehicle matches an existing driver, and a driving pattern of the current driver matches a driving pattern of the existing driver. The vehicle occupant check method further comprises checking whether the vehicle occupant is inside the vehicle based on a second condition, comprising checking a presence of the vehicle occupant inside the vehicle through a detection sensor, when the current driver of the vehicle does not match the existing driver, or the driving pattern of the current driver does not match the driving pattern of the existing driver.

Abstract: A method and system for decomposing cross-domain path planning of an amphibious vehicle.

Abstract: A vehicle can include various sensors to detect objects in an environment. In some cases, the object may be within a planned path of travel of the vehicle. In these cases, leaving the planned path may be dangerous to the passengers so the vehicle may, based on dimensions of the object, dimensions of the vehicle, and semantic information of the object, determine operational parameters associate with passing the object while maintaining a position within the planned path, if possible.

Abstract: A seat state detection apparatus according to the present invention includes: a detecting unit configured to, in accordance with a moving operation in a front-rear direction by an operator on a seat of a vehicle, detect a moving status value representing a status of a moving mechanism that moves the seat in the front-rear direction; and a determining unit configured to determine that the moving mechanism is in a first state when the detected moving status value is more than a first threshold value, and determine that the moving mechanism is in a second state when the detected moving status value is less than a second threshold value set to a value lower than the first threshold value.

Abstract: Methods and systems for operating powersport vehicles during an operator-vehicle separation condition are provided. One method includes detecting the operator-vehicle separation condition using a first tetherless criterion and a second tetherless criterion. In response to detecting the operator-vehicle separation condition using both the first tetherless criterion and the second tetherless criterion, the method includes preventing propulsion of the powersport vehicle.

Abstract: The present invention relates to an unmanned aerial vehicle (UAV) for agricultural weed management. The UAV comprises a control and processing unit (20), and a camera (30). The control and processing unit is configured to control the UAV to fly to a location inside the canopy of a crop and below the vertical height of the crop and/or between a row of a plurality of crops and below the vertical height of the plurality of crops. The control and processing unit is configured to control the camera to acquire at least one image relating to the ground at the location inside the canopy of a crop and below the vertical height of the crop and/or between a row of a plurality of crops and below the vertical height of the plurality of crops. The control and processing unit is configured to analyse the at least one image to determine the presence of at least one weed and its location on the ground.

Abstract: A method for operating a driver information system in an ego vehicle is provided, wherein environment data are detected in an environment of the ego vehicle. A driver information display is generated and output, wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle. An operating state of a driver assistance system of the ego vehicle is detected, and an automation level is determined with reference to the detected operating state of the driver assistance system. The depiction of the environment is generated depending on the determined automation level.

Abstract: A server programmed for adjusting a familiarity score associated with a merchant location based on a transaction history associated with the merchant location is disclosed herein. The familiarity score may indicate a likelihood of a customer being geographically familiar with the merchant location. The transaction history associated with the merchant location may include a history of financial transactions executed by the customer at the merchant location. A magnitude of an adjustment may be mediated by a machine-learning algorithm trained to adjust the familiarity score to at least raise or maintain a customer engagement score with a transaction map or reduce zoom level adjustments of the transaction map by the customer. The server may also be programmed to adjust the familiarity score based on location data for a mobile device.

Abstract: A driving assistance device includes a storage device configured to store a program and a processor connected to the storage device. The processor executes the program stored in the storage device to acquire information about a target position decided on as a position relative to another moving object located in a second lane when a host moving object merges or changes lanes from a first lane to the second lane and cause a speaker to output a sound obtained by combining a basic sound for acceleration guidance with an additional sound for the acceleration guidance having a higher frequency than the basic sound for the acceleration guidance when the host moving object should accelerate such that position alignment related to a traveling direction of the host moving object is performed with respect to the target position.

Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.

Abstract: An automatic cruise control system on a motorcycle capable of performing an overtake maneuver via a long button press. The automatic cruise control includes a radar, a button, and a motorcycle speed. The radar is configured to detect objects in front of the motorcycle and generate data regarding the detected object. The button is configured to generate a button signal. The radar is further configured to receive the motorcycle speed, sensor data, and a button signal, and to generate an acceleration signal based upon the sensor data, the button signal, and the motorcycle speed.

Abstract: Aspects and implementations of the present disclosure relate to augmenting point cloud data with artificial return points. An example method includes: receiving point cloud data comprising a plurality of return points, each return point being representative of a reflecting region that reflects a beam emitted by a sensing system, and generating a plurality of artificial return points based on presence or absence of return points along radial paths of beams emitted from the sensing system.

Abstract: Autonomous machine navigation techniques may determine vision-based pose data based on feature data and object recognition data extracted from images. The vision-based pose data may be used to generate a three-dimensional point cloud that represents at least a work region. The vision-based pose data may be used to determine an operational vision-based pose relative to the three-dimensional point cloud.