Abstract: A cargo area door control system for a vehicle is provided. The vehicle includes at least one cargo area and at least one cargo area door configured to be movable to enable physical access to the at least one cargo area, and movable to block physical access to the at least one cargo area. The control system includes one or more processors and a memory communicably coupled to the one or more processors. The memory stores a cargo area door control module including instructions that when executed by the one or more processors cause the one or more processors to determine if the vehicle currently resides at a selected destination and, responsive to a determination that the vehicle currently resides at the selected destination, operate a cargo area door unlocking mechanism to unlock the at least one cargo area door.

Abstract: A method for adjusting a seat in a vehicle includes adjusting the seat from an initial position to a passenger adjusted position based on receiving an input from a passenger. The method further includes determining the passenger exited the vehicle after adjusting the seat and predicting a likelihood of the passenger returning to the vehicle based on determining the passenger exited the vehicle. The method also includes adjusting the seat to the initial position based on the likelihood of the passenger returning is less than a passenger returning threshold. The method still further includes identifying a person approaching the vehicle after the passenger exited the vehicle based on information captured by one or more sensors of the vehicle. The method also includes adjusting the seat to a position associated with the previous passenger based on identifying the person approaching the vehicle as the previous passenger.

Abstract: A method for controlling a driving condition component of an autonomous vehicle is presented. The method includes determining whether current conditions would limit a driver's visibility. The method also includes predicting whether the driver will enable a manual mode during the current conditions. The method further includes controlling the driving condition component to mitigate the current conditions prior to the driver enabling the manual mode.

Abstract: An automated driving system controls an automated driving vehicle. A plurality of stop lots are virtually arranged in a pick-up and drop-off area in which the automated driving vehicle stops to pick up or drop off a user. An order of priority of the plurality of stop lots is set. The automated driving system selects a stop lot one by one in the order of priority and determines whether or not the selected stop lot is available for the automated driving vehicle to stop. When the selected stop lot is available for the automated driving vehicle to stop, the selected stop lot is set as a target stop lot. The automated driving system controls the automated driving vehicle so as to stop in the target stop lot.

Abstract: A pick-up and drop-off area, which is a predetermined area in which an automated driving vehicle stops to pick up or drop off a user, includes a downstream area existing downstream of a standard stop space and an upstream area existing upstream of the standard stop space. An automated driving system controls the automated driving vehicle so as to stop in a target stop space in the pick-up and drop-off area. When the standard stop space is available, the standard stop space is set as the target stop space. When the standard stop space is not available for the automated driving vehicle to stop to drop off the user, the automated driving system searches for an upstream available space in the upstream area and preferentially sets the upstream available space as the target stop space.

Abstract: A method for selecting an autonomous mobility-as-a-service (MAAS) vehicle is presented. The method includes transmitting, to a customer, location information of an autonomous MAAS vehicle within the customer's vicinity. The method also includes transmitting, to the customer, a compartment climate value corresponding to the autonomous MAAS vehicle. The method further includes selecting the autonomous MAAS vehicle based on the compartment climate value, such that the selected autonomous MAAS vehicle navigates to a location of the customer.

Abstract: In one embodiment, a method for collecting lane data is disclosed. The method includes collecting lane data, for a lane of a plurality of lanes of a road, from one or more sensors of a vehicle traveling in the lane. The method includes receiving an identifier of a lane of the plurality of lanes. The identified lane is a lane-of-interest and is different from the lane that the vehicle is traveling in. The method includes determining that the vehicle is not occupied. The method includes causing, in response to determining that the vehicle is not occupied, the vehicle to travel in the lane-of-interest. The method includes collecting lane data, for the lane-of-interest from the one or more sensors.

Abstract: In one embodiment, a method for collecting lane data is disclosed. The method includes collecting lane data for a first lane of a plurality of lanes of a road from one or more sensors of a vehicle traveling in the first lane. The method includes receiving an identifier of a lane-of-interest from the plurality of lanes. The method includes determining a probability that the vehicle will receive a ride request while traveling in the first lane. The method includes determining that the probability satisfies a threshold. The method includes, in response to determining that the probability satisfies the threshold, causing the vehicle to travel in the lane-of-interest. The method includes collecting lane data for the lane-of-interest from the one or more sensors.

Abstract: A control device of an automated driving vehicle is configured to perform a recognition process, a search process, and a selection process. The recognition processing is a process for recognizing that the vehicle has entered a boarding area where an occupant gets off or gets on. The search process is a process of searching for a guide in the boarding area when the vehicle enters the boarding area. The selection process is a process, as the operation of the vehicle in the boarding area, in which a first operation mode is selected when the guide is not found, and a second operation mode is selected when the guide is found. The control device is configured to mitigate safety standards of an active safety system which avoids a collision between the vehicle and surrounding objects in the second operation mode, as compared with the first operation mode.

Abstract: A method for route planning for an autonomous vehicle includes determining whether a route to a destination includes a stall factor and determining whether the autonomous vehicle will be occupied during the route. The method also includes determining an alternate route based on the determined stall factor when the autonomous vehicle will be unoccupied. The method still further includes controlling the autonomous vehicle to drive on the alternate route when the alternate route does not include a stall factor.

Abstract: A driving assistance device, including an automated driving switch; an emergency button; and a controller configured to provide either automated driving in which travel is performed along a current travel path of a host vehicle or automated stopping in response to manipulation by a driver of the automated driving switch or of the emergency button.

Abstract: A method for adjusting a seat in a vehicle is presented. The method includes receiving a user input from a passenger to adjust the seat from a default position to a passenger adjusted position. The method also includes predicting, in response to the passenger exiting the vehicle, a likelihood of the passenger returning to the vehicle. The method still further includes maintaining the passenger adjusted position when the likelihood of the passenger returning to the vehicle is greater than a threshold.

Abstract: Camera image information includes an image that is imaged by a camera installed on a vehicle. Lamp pattern information, which is information on a traffic signal having plural lamp parts, indicates a relative positional relationship between the plural lamp parts and an appearance of each lamp part when lighted. A system detects a subject traffic signal around the the vehicle based on the camera image information to acquire traffic signal detection information that indicates at least an appearance of each of plural detected parts of the subject traffic signal. The system compares the traffic signal detection information with the lamp pattern information. The system recognizes a lighting state of the plural lamp parts that is consistent with the appearance of each of the plural detected parts of the subject traffic signal as a lighting state of the subject traffic signal.

Abstract: An automatic driving system includes at least one electronic control unit configured to: generate a traveling plan so as to moderate a change in behavior of a vehicle at a time when an automatic driving control of the vehicle is started by an automatic engagement compared to a change in the behavior of the vehicle at a time when the automatic driving control is started by a triggered engagement, the automatic engagement being an engagement in which the automatic driving control is automatically started when an automatic engagement condition is satisfied, the triggered engagement being an engagement in which the automatic driving control is started when an automatic driving start condition is satisfied and an automatic driving start trigger is input by an occupant; and execute the automatic driving control by controlling the behavior of the vehicle based on the traveling plan, using an actuator equipped in the vehicle.

Abstract: A drive assist device includes a display that displays an image around a vehicle imaged by an imaging device installed on the vehicle, a setting unit that sets a target designated by a user on the image as a recognition target, a detection unit that detects a state change of the recognition target on the image in a case where the recognition target is set, and a notification control unit that controls a notification device to notify the user of the detection result in a case where the state change of the set recognition target is detected.

Abstract: A driving assistance device, including an automated driving switch; an emergency button; and a controller configured to provide either automated driving in which travel is performed along a current travel path of a host vehicle or automated stopping in response to manipulation by a driver of the automated driving switch or of the emergency button.

Abstract: A traffic signal display estimation system recognizes, based on the position information of a vehicle and a traffic signal information, a traffic signal included in a camera image, identifies a traffic signal display for each recognized traffic signal, and calculates, for each traffic signal, a first evaluation value indicating the certainty of the identified traffic signal display. The system integrates, based on a traffic-signal-to-traffic-signal relational information, a forward traffic signal that is ahead of the travelling direction and that the vehicle should follow and a traffic signal correlated with the forward traffic signal in terms of the traffic signal display, among a plurality of recognized traffic signals. When there is an inconsistency in traffic signal displays identified between a plurality of integrated traffic signals, the system determines a first estimated traffic signal display of the forward traffic signal, based on the first evaluation value for each traffic signal.

Abstract: A cargo area door control system for a vehicle is provided. The vehicle includes at least one cargo area and at least one cargo area door configured to be movable to enable physical access to the at least one cargo area, and movable to block physical access to the at least one cargo area. The control system includes one or more processors and a memory communicably coupled to the one or more processors. The memory stores a cargo area door control module including instructions that when executed by the one or more processors cause the one or more processors to determine if the vehicle currently resides at a selected destination and, responsive to a determination that the vehicle currently resides at the selected destination, operate a cargo area door unlocking mechanism to unlock the at least one cargo area door.

Abstract: A vehicle cargo area door control system for a vehicle including at least one cargo area and at least one cargo area door. The control system includes one or more processors and a memory communicably coupled to the processors for storing a cargo area door control module. The door control module operates to, responsive to the generation or receipt of an instruction which will cause the vehicle to start moving, determine if all vehicle cargo area doors are closed. If at least one cargo area door is not closed, command(s) are generated to close the at least one cargo area door.

Abstract: Camera image information includes an image that is imaged by a camera installed on a vehicle. Lamp pattern information, which is information on a traffic signal having plural lamp parts, indicates a relative positional relationship between the plural lamp parts and an appearance of each lamp part when lighted. A system detects a subject traffic signal around the the vehicle based on the camera image information to acquire traffic signal detection information that indicates at least an appearance of each of plural detected parts of the subject traffic signal. The system compares the traffic signal detection information with the lamp pattern information. The system recognizes a lighting state of the plural lamp parts that is consistent with the appearance of each of the plural detected parts of the subject traffic signal as a lighting state of the subject traffic signal.