Abstract: A method of determining a trajectory for an autonomous vehicle is disclosed. An ego-vehicle may detect a moving actor in an environment. To choose between candidate trajectories for the ego-vehicle, the system will consider the cost of each candidate trajectory to the moving actor. The system will use the candidate trajectory costs for the candidate trajectories to select one of the candidate trajectories via which to move the ego-vehicle. An autonomous vehicle system of the ego-vehicle may then move the ego-vehicle in the environment along the selected trajectory.

Abstract: A system for providing allergen information includes an allergen sensor located on a vehicle designed to detect allergen data corresponding to levels of at least one allergen in an environment of the vehicle. The system further includes a network access device located on the vehicle and designed to transmit the allergen data to a remote server and to receive an allergen map from the remote server, the allergen map being based on the allergen data from the vehicle and from additional vehicles, and indicating the levels of the at least one allergen at various locations on the allergen map. The system further includes an output device designed to output data. The system further includes an electronic control unit (ECU) coupled to the allergen sensor, the network access device, and the output device and designed to control the output device to output the allergen map received from the remote server.

Abstract: Computer-implemented methods, systems and computer program products for facilitating operationally customized access to smart vehicles are provided. Aspects include receiving request to access a smart vehicle. Aspects also include receiving vehicle operation constraints associated with the smart vehicle using a processor. Aspects also include generating a vehicle policy based at least in part on the request to access the smart vehicle and the vehicle operation constraints using the processor. The vehicle policy includes rules for operation of the smart vehicle. Aspects also include transmitting the vehicle policy to the smart vehicle. Aspects also include moderating the operation of the smart vehicle based on at least in part the vehicle policy.

Abstract: A first obstacle colliding with the ADV is detected. A minimum deceleration that is required for the ADV to avoid colliding with a second obstacle within a predetermined proximity of a moving direction is determined. A brake command is generated based on the minimum deceleration. Then, the brake command is applied to the ADV, such that the ADV avoids collision with the second obstacle and softens an impact of the collision with the first obstacle.

Abstract: A dispatch device includes an information acquisition unit that acquires, for each of a plurality of vehicles, location information indicating a location of the vehicle and loaded object information indicating a status of an object of transportation loaded on the vehicle and a vehicle dispatching unit that dispatches an unfilled vehicle that can carry an object of transportation so that a predetermined number or higher number of unfilled vehicles, are present around an operating vehicle that is carrying an object of transportation.

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: The present disclosure relates to techniques to implement a vehicle action using a distributed model distributed across the vehicle and a remote node. A local portion of the distributed model at the vehicle may generate a local output model based on vehicle event data collected at the vehicle. The local output model may be sent from the vehicle at a first location to the remote node at a second location. The remote node may generate a remote output model based on the local output model using the remote portion of the distributed model. The vehicle action may be determined based on inspecting a reconstructed version of the vehicle event data included in the remote output model. The determined vehicle action may be implemented at the vehicle. The distributed model may facilitate the transmission of vehicle event data across multiple locations while securing the transmission of personally-identifiable information.

Abstract: Determining whether another entity is coordinating with an autonomous vehicle and/or to what extent the other entity's behavior is based on the autonomous vehicle may comprise determining a collaboration score and/or negotiation score based at least in part on sensor data. The collaboration score may indicate an extent to which the entity is collaborating with the autonomous vehicle to navigate (e.g., a likelihood that the entity is increasingly yielding the right of way to the autonomous vehicle based on the autonomous vehicle's actions). A negotiation score may indicate an extent to which behavior exhibited by the entity is based on actions of the autonomous vehicle (e.g., how well the autonomous vehicle and the entity are communicating with their actions).

Abstract: A vehicle control system includes a recognizer configured to recognize a surrounding situation of a vehicle, a driving controller configured to perform driving control on at least one of steering and a speed of the vehicle on the basis of a recognition result of the recognizer, an environment controller configured to control an operation of a predetermined device for providing a comfortable environment of the vehicle and limit an operation state of the predetermined device at a timing when a user gets out of the vehicle, and a reproducer configured to reproduce the operation state of the predetermined device at a timing when the user gets into the vehicle when the driving controller performs driving control for moving the vehicle from a parking area and picking up the user.

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: 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: Provided is a vehicle control device configured to execute specific control while at the same time sequentially switching the specific control that defines an operation to be executed by each of a plurality of surrounding environment acquisition devices configured to acquire information on a surrounding environment of a vehicle, a recognition/determination ECU configured to generate a path on which the vehicle is to travel, and an integrated control ECU configured to control the vehicle based on the generated path along with an elapse of time since detection of an anomaly, when the anomaly is detected in any one of the plurality of surrounding environment acquisition devices, the recognition/determination ECU, and the integrated control ECU.

Abstract: A method for controlling an operating mode of a vehicle is presented. The method includes determining a current range of the vehicle while the vehicle is operating in a first operating mode. The method also includes determining a distance to a destination. The method further includes controlling the vehicle to operate in a second operating mode instead of the first operating mode when the range is less than the distance to the destination.

Abstract: System, methods, and embodiments described herein relate to managing benefit distribution in a vehicular micro cloud in which a plurality of vehicle members collaboratively execute operations in an environment of the vehicular micro cloud. A disclosed method may include monitoring a distributed execution of a micro cloud operation initiated by the ego vehicle, determining a contribution level of a vehicle member of the vehicular micro cloud that contributed toward completing the micro cloud operation, storing a record indicating the contribution level, identifying an occurrence of an event, the event being a micro cloud interaction or encounter with the vehicle member subsequent to completion of the micro cloud operation, determining, based at least in part on the record indicating the contribution level, a reciprocal task that benefits the vehicle member, and executing the reciprocal task during the event.

Abstract: A method and system for enacting a change of operating modalities of a transportation vehicle. The method includes at least one display device, which at least partially includes a screen, operated in the transportation vehicle. The at least one display device has at least two operating modes for operator control by a user. A triggering signal to the at least one display device is automatically provided. The triggering signal is triggered by at least one trigger event, is provided directly or indirectly by the transportation vehicle, and triggers a change from a first operating mode to a second operating mode. The change is at least partially indicated to the user by at least one operator alerting signal.

Abstract: Embodiments disclose systems and methods to operate an autonomous vehicle. In one embodiment, a system (an electronic controlled unit (ECU) of an autonomous driving vehicle (ADV)) receives a command, the command sent by an autonomous driving system (ADS) of the ADV. The system determines a communication state between the ECU and the ADS based on a state machine corresponding to a timing of the received command. If the communication state is of a first state, the system operates the ADV based on the received command. If the communication state is of a second state, the system releases a throttle of the ADV. If the communication state is of a third state, the system releases a throttle of the ADV and brakes using a first threshold of acceleration.

Abstract: According to an embodiment, an information processing device is used for controlling a mobile object. The device includes one or more hardware processors configured to: generate risk information indicating a level of a risk that is caused when the mobile object moves, based at least in part on a position of an obstacle with respect to the mobile object, the risk being indicated for each of a plurality of areas; and generate condition information indicating a condition for performing a countermeasure operation for a risk in accordance with the risk information.

Abstract: Systems and techniques for a mechanism for conflict resolution and avoidance of collisions for highly automated and autonomous vehicles are described herein. In an example, a gesture resolution system of an autonomous vehicle is adapted to detect, using input received from a camera, a moving object near the autonomous vehicle. The gesture resolution system may be further adapted to determine the moving object presents a risk of collision with the autonomous vehicle. The gesture resolution system may be further adapted to detect a gesture performed by the moving object. The gesture resolution system may be further adapted to determine a meaning of the gesture. The gesture resolution system may be further adapted to display, in a graphical user interface, the meaning for the gesture and an interface element to override the meaning of the gesture.

Abstract: A planned acceleration of a vehicle and a predicted optimal acceleration of a target is determined. Upon determining that an actual acceleration of the target differs from the predicted optimal acceleration, the planned acceleration of the vehicle is revised based on the actual acceleration of the target. The foregoing steps can be implemented by a vehicle computer according to program instructions stored in a memory of the vehicle computer. The vehicle can include sensors, actuators, and/or controllers in communication with the computer via a vehicle communication network.

Abstract: Systems and methods are provided for determining location data corresponding to a location of a user, retrieving candidate locations for pickup or drop-off locations based on the location data corresponding to the location of the user, and determining a safety score for each of the candidate locations. The systems and methods further select a best candidate location using the safety score associated with each of the candidate locations and provide a recommendation for a pickup or drop-off location comprising the best candidate location.