Abstract: A remote assistance management system is in communication with autonomous traveling vehicles for letting an operator provide remote assistance in response to an assistance request from a vehicle. The system predicts an occurrence of an assistance request in future based on operation states of the vehicles, and categorize a cause of an assistance request predicted to occur into a first category cause that lasts for a long time and a second category cause that lasts only for a short time. The system receives an assistance request from the vehicles. In response to acquiring a first assistance request of which the cause is the first category cause from a first vehicle, the system transmits a first command signal for the first vehicle that is decided by an operator to the first vehicle, and applies the first command signal to another vehicle from which the first assistance request is predicted to occur.

Abstract: Systems, computer readable medium and methods for unlocking an autonomous drone are disclosed. Example methods include receiving an indication of a selection of a fly instruction, capturing an image using an image capturing device of the autonomous drone, processing the image to determine whether a face is present in the image, and if the face is present in the image, taking off. The face has to be within a predetermined distance of the autonomous drone. This ensures that the face is likely from the person that selected the fly instruction and ensures that the autonomous drone is far enough away from the face that the autonomous drone will not crash into the face on take-off. In some examples, the autonomous drone determines whether the autonomous drone is sitting on a hand before taking off. The autonomous drone uses a position of the face to determine an initial flight plan.

Abstract: Systems and methods for recording statuses of an automobile are presented. A method for implementing an automobile status recorder includes collecting, with one or more sensors, one or more statuses of a vehicle. The method includes creating a time field for each of the one or more statuses. The method includes storing the one or more statuses in a storage that is configured to retrieve statuses based on a time range. The method includes generating a notification when the one or more statuses meet a condition and transmitting the notification to the mobile device.

Abstract: A method and a system analyze the control of a vehicle having an autonomous driving unit. A change in the driving mode from autonomous driving to manual driving is detected, and at least one driving parameter before and/or after detecting the change is monitored. Based on driving values obtained by the monitoring with respect to the detected change in driving mode, at least one driving quantity quantifying the quality of interplay between the autonomous driving unit and a human driver is determined.

Abstract: This disclosure describes techniques for using radar cross-section (RCS) data to classify objects detected by autonomous vehicles within driving environments. In some examples, the variance of the RCS data associated with an object may be evaluated to determine signal interference caused by multipath fading. The variance of the RCS data may be used to classify the object and to determine whether the autonomous vehicle can safely drive over the object. For instance, objects such as manhole covers, storm drains, and expansion joints may provide a significant radar signal, but low RCS variance indicating that they can be driven over by the vehicle. Based on the classification of the object, the autonomous vehicle may determine a trajectory around the object or directly over the object.

Abstract: A method for managing a hand-over from an Automated Driving System (ADS) to driver of vehicle, where ADS includes ADS feature being associated with first set of pre-cautionary constraints out of plurality of pre-cautionary constraints imposed by Pre-cautionary Safety (PCS) module while ADS feature controls vehicle. The method includes obtaining request to deactivate ADS feature, and providing partial control of vehicle to driver in order to enable manual driver operation of vehicle based on obtained request. The method includes monitoring manual driver operation of vehicle for a time period, and evaluating monitored manual driver operation of vehicle against second set of pre-cautionary constraints during time period. Then, based on evaluation, the method includes deactivating second set of pre-cautionary constraints upon expiry of time period if manual driver operation passes evaluation, or providing control of vehicle to ADS if manual driver operation fails evaluation.

Abstract: Some embodiments include an autonomous yard truck that includes a speed control mechanism; a steering system; a geolocation sensor; a plurality of sensors; a fifth wheel coupling; a robotic arm disposed on the deck; an air hose with a first hose connector; a transceiver; and a controller. The controller may identify a first trailer hose connector location on a specific trailer; determine the location of a first hose connector on an autonomous yard truck; engage the first hose connector with a robotic arm; move the first hose connector from the first hose connector location to the first trailer hose connector location on the specific trailer with the robotic arm; connect the first hose connector with the first trailer hose connector; disengage the first hose connector from the robotic arm; and/or test the connection between the connection between the first hose connector and the first trailer hose connector.

Abstract: A system includes an autonomous vehicle (AV) configured to travel along a road and a control device communicatively coupled to the AV. The control device determines that the AV should move from a current lane of the road to an adjacent lane of the road. The control device determines two or more candidate windows into which the AV may move in the adjacent lane. Each candidate window corresponds to a space in the adjacent lane between two vehicles traveling in the adjacent lane. The control device determines that the AV should move into a first candidate window, and, in response to this determination, causes the AV to begin moving along a trajectory leading to the first candidate window (e.g., by accelerating or decelerating).

Abstract: An embodiment for dynamically arranging vehicles on a smart crossing is provided. The embodiment may include receiving data relating to a maximum carrying capacity of a smart crossing having one or more sensors. The embodiment may also include predicting a current load carrying capacity of the smart crossing. The embodiment may further include identifying a number of vehicles traveling towards the smart crossing within a pre-defined distance of the smart crossing. The embodiment may also include identifying one or more specifications and a current arrangement of each vehicle. The embodiment may further include executing a digital twin simulation of a digital twin model of each vehicle driving across the smart crossing. The embodiment may also include in response to determining the current load carrying capacity is exceeded, assigning a priority level to each vehicle. The embodiment may further include predicting a modification of the current arrangement of each vehicle.

Abstract: A control method for an autonomous driving vehicle is provided. The control method comprises steps of: determining whether trigger information is received; when the trigger information is received and the autonomous driving vehicle has been located at a predetermined location at current moment, obtaining an arrival time required for a predetermined target to reach the predetermined location, the predetermined location is a preset connection location; determining whether the arrival time is greater than a preset value; when the arrival time is greater than the preset value, controlling the autonomous driving vehicle to drive to a parking area; and when the arrival time is not greater than the preset value, controlling the autonomous driving vehicle to drive according to preset rules. Furthermore, a computer device is also provided.

Abstract: A method for a trajectory prediction for a vehicle. The method includes receiving trajectory data of a travel trajectory of a further vehicle driving in a traffic lane within a surroundings of a vehicle; detecting at least one control action performed by the further vehicle based on the trajectory data, the control action representing at least part of a driving maneuver, by which the further vehicle is controlled along the travel trajectory; ascertaining a future travel trajectory of the vehicle by taking into account the detected control action executed by the further vehicle; and providing the future travel trajectory of the further vehicle.

Abstract: A method includes identifying mass distribution data of an autonomous vehicle (AV). The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes determining, based on the mass distribution data, one or more handling maneuver limits for the AV. The method further includes causing the AV to travel a route based on the one or more handling maneuver limits.

Abstract: Techniques are provided for autonomous vehicle operation using linear temporal logic. The techniques include using one or more processors of a vehicle to store a linear temporal logic expression defining an operating constraint for operating the vehicle. The vehicle is located at a first spatiotemporal location. The one or more processors are used to receive a second spatiotemporal location for the vehicle. The one or more processors are used to identify a motion segment for operating the vehicle from the first spatiotemporal location to the second spatiotemporal location. The one or more processors are used to determine a value of the linear temporal logic expression based on the motion segment. The one or more processors are used to generate an operational metric for operating the vehicle in accordance with the motion segment based on the determined value of the linear temporal logic expression.

Abstract: A vehicle control device has a processor configured to generate a first traveling lane plan representing the traveling lane in which the vehicle is traveling within a first driving zone of a navigation route, to generate a first lane change plan representing movement of the vehicle between lanes, based on the first traveling lane plan or on surrounding environment information and, when the first lane change plan has been generated, to determine whether or not there exists a control transfer request zone at less than a first reference distance from the location of the vehicle on the post-movement traffic lane, or a lane change schedule zone at less than a second reference distance, and the first lane change plan is cancelled when such a control transfer request zone or lane change schedule zone exists.

Abstract: The technology involves to pickups performed by autonomous vehicles. In particular, it includes identifying one or more potential pullover locations adjacent to an area of interest that an autonomous vehicle is approaching. The vehicle detects that a given one of the potential pullover locations is occupied by another vehicle and determines whether the other vehicle will be vacating the given pullover location within a selected amount of time. Upon determining that the other vehicle will be vacating the given potential pullover location within the timeframe, the vehicle determines whether to wait for the other vehicle to vacate the given pullover location. Then a driving system of the vehicle either performs a first action in order to wait for the other vehicle to vacate the given pullover location or performs a second action that is different from the first action when it is determined to not wait.

Abstract: Section information of a traveling route is provided appropriately to a driver. Traveling route information and traffic information relating to the traveling route are acquired, and on the basis of the information, a driver intervention requiring section and an automatic driving available section of the traveling route are displayed on a reach prediction time axis from a current point on an instrument panel, a tablet, or the like. For example, the driver intervention requiring section includes a manual driving section, a takeover section from automatic driving to manual driving, and a cautious traveling section from the automatic driving.

Abstract: A method for operating a drive device for a motor vehicle, the drive device having a first drive unit designed as an internal combustion engine and a second drive unit designed as an electrical machine, which together at least temporarily provide a drive torque of the drive device on an drive shaft, the drive torque being set to a requested default torque. It In a first operating mode, before changing a speed of the drive shaft for the first drive unit, a torque characteristic is selected from multiple torque characteristics. In the first operating mode, while the speed is being changed, the first drive unit is operated according to the selected torque characteristic for providing at least one part of the specified torque, and a differential torque between the specified torque and the torque provided by the first drive unit boil is provided by the second drive unit.

Abstract: The present disclosure discloses an autonomous vehicle remote control apparatus and a method based on heterogeneous networks. The apparatus comprises a vehicle information acquisition module, a first message sending module, a first message receiving module and a first remote control module. According to the present disclosure, the possibility of failure of remote control is avoided or greatly reduced by bypassing the area where the network quality does not support remote control when planning a vehicle path, heterogeneous network resources are reasonably utilized on the vehicle driving path, the real-time performance of obtaining vehicle-related information by a remote control terminal is improved, and the availability and reliability of remote control and the safety of vehicle driving are effectively enhanced.

Abstract: Upon initiating an automated parking space search and/or an at least partly automated parking process, an ego vehicle automatically provides information on at least its current position, initiation of the automated parking space search and/or a parking process, including a parking safety zone that it requires for parking, to other road users in the surroundings of the ego vehicle.

Abstract: A method of collecting vehicle data by a vehicle, may include acquiring the vehicle data of the vehicle; receiving information on whether consent to provision of information is provided for collection of the vehicle data; and transmitting a piece of the vehicle data in which the consent to provision of the information is given, to a vehicle data management server by use of a communication device of the vehicle.