The automated driving system automatically drives a vehicle by cooperative operation of a travel control device controlling travel of the vehicle and a portable device possessed by a driver of the vehicle. In the cooperative operation, the portable device transmits route data to the travel control device; the travel control device sets an event location on the route, based on the route data, controls travel of the vehicle in an automated-driving control area, based on the route data and circumstance data, and transmits notification data for notifying the driver of a change of a travel condition to the portable device; and the portable device notifies the driver of the change, based on the notification data. Upon receiving an operational input to stop the cooperative operation, the portable device notifies the driver of a warning message or ignores the received operational input if the event location is set in the area.

Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation data and ancillary data. Based on the received vehicle operation data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operation data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operation data and the received ancillary data.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

A work assist system includes an automatic driving information acquisition unit configured to acquire automatic driving information containing automatic driving level information representing automatic driving levels from a vehicle capable of automatic driving; a task information storage configured to store task information containing unprocessed tasks to be processed by a driver of the vehicle, groups that classify the tasks according to functions required for processing the tasks, and the automatic driving levels necessary for processing the tasks using the functions corresponding to the groups; and a task extractor configured to extract a task that is processable by the driver in the vehicle based on the automatic driving information acquired by the automatic driving information acquisition unit and the task information stored in the task information storage.

The techniques of this disclosure relate to a driver-monitoring system. The system includes a controller circuit that receives monitoring data from a driver-monitor sensor that is configured to monitor a driver of a vehicle while the vehicle operates in an autonomous-driving mode. The controller circuit determines a score of one or more driver-supervisory metrics based on the monitoring data, each of the driver-supervisory metrics being indicative of whether the driver is supervising the operation of the vehicle. The controller circuit determines a supervision score based on the score of the driver-supervisory metrics. The supervision score is indicative of whether the driver is ready to resume control of the vehicle. The controller circuit indicates a driver-awareness status on a display in a field of view of the driver based on the supervision score. The system can improve vehicle safety by alerting the driver when the driver exhibits reduced driver awareness behavior.

A configuration is realized in which driver's biological information is input and a driver's wakefulness degree is evaluated. The wakefulness degree of the driver is evaluated by applying a result of behavior analysis of at least one of an eyeball or a pupil of the driver and a wakefulness state evaluation dictionary specific for the driver. The data processing unit evaluates the wakefulness degree of the driver by using the wakefulness state evaluation dictionary specific for the driver generated as a result of learning processing based on log data of the driver's biological information. Moreover, a return time before the driver is able to start safety manual driving is estimated. A learning device used for estimation processing based on observable information is able to correlate an observable eyeball behavior of the driver and the wakefulness degree by a multidimensional factor by continuously using the learning device. By using secondary information, an index of an activity in a brain of the driver is able to be derived from a long-term fluctuation of the observable value.

A sensor detects an obstacle to a vehicle. An alert device provides alert information for inquiring a passenger to determine whether to continue automatic driving when a distance between the obstacle and an end of the lane is equal to or larger than a width necessary for travel based on a width of the vehicle. An input device receives a passenger's manipulation to continue automatic driving in response the inquiry provided from the alert device. A command output unit outputs a command to ease lane-based restriction on continuation of automatic driving to an automatic driving control device when the manipulation in response is received.

An automatic driving vehicle has an automatic mode to automatically travel in accordance with an instruction from an operation management center. The vehicle transmits, to the operation management center, an automatic mode request to shift to the automatic mode, and enters a permission waiting state of being shiftable to the automatic mode by receiving a permission from the operation management center. In a case where the driving start permission from the operation management center is received in the permission waiting state, the state changes to a manipulation waiting state of waiting for a start manipulation of an operator, and in a case where there is the start manipulation of the operator in the manipulation waiting state, travel in the automatic mode starts.

An automatic driving vehicle has an automatic mode to automatically operate along a predetermined travel route in accordance with an operation schedule provided from an operation management center through communication and so as to arrive at a predetermined spot at predetermined time. In a case where the communication is normal, the automatic driving vehicle operates automatically in accordance with the operation schedule provided in the automatic mode through the communication, and in a case where abnormality occurs in the communication, the automatic mode shifts to a semiautomatic mode to operate the automatic driving vehicle in a state where a function of communicating with the operation management center is limited.

An automatic driving vehicle includes a mechanical emergency stop button for operation by an operator. When the operator presses the emergency stop button while the automatic driving vehicle is running in an automatic driving mode, the automatic driving vehicle stops running. The automatic driving vehicle has a touch panel for operation by the operator, the touch panel being provided forward of the emergency stop button. When the operator presses a SLOW DOWN button while the automatic driving mode is running in the automatic driving mode, the automatic driving vehicle decelerates and thereafter continues running.