An autonomous driving system configured to perform an autonomous driving of a vehicle includes a trigger input request unit configured to perform a trigger input request for requesting a driver of the vehicle to perform a trigger input for causing the vehicle to pass through a target point if the autonomously driving vehicle approaches the target point set in advance and positioned on a traveling route of the vehicle, a trigger input detection unit configured to detect the driver's trigger input, and a vehicle control unit configured to cause the vehicle to pass through the target point if the trigger input is detected, and causes the vehicle to decelerate and stop without passing through the target point if the trigger input is not detected.

A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

A vehicle receives sensor data from at least one of its sensors as it approaches an intersection and determines whether a traffic flow control device for the intersection is detected. When detected, a detected type, a detected state, or both of the traffic flow control device is determined. Using a type of the intersection, at least one of an existing type or an existing state of the traffic flow control device is determined, where the traffic flow control device is undetected or the detected type, the detected state, or both are determined with a detection confidence less than a defined level of detection confidence. The traffic flow control device is tagged with a label including its location and existing type, the existing state, or both within at least one control system for the vehicle. The vehicle is operated within vehicle transportation network using a control system that incorporates the label.

A system, for determining autonomous-driving-vehicle actions associated with a group of autonomous-driving-vehicle passengers. The system includes an input-interface module that, when executed by a processing unit, obtains, from at least a first autonomous-driving-vehicle passenger of the group of autonomous-driving-vehicle passengers, an autonomous-vehicle-passenger input relating to the group. The system also includes at least one collaboration module. Example collaboration modules include an extra-vehicle-collaboration module that, when executed by the processing unit, determines, based on the autonomous-vehicle-passenger input, an extra-vehicle function to be performed at least in part outside of the vehicle. Another example collaboration module is an intra-vehicle-collaboration module that, when executed by the processing unit, determines, based on the autonomous-vehicle-passenger input, an intra-vehicle function to be performed at the vehicle.

A driver monitoring device includes: a processor; and a memory. The memory stores instructions, when executed by the processor, cause the driver monitoring device to perform operations including: detecting an unbalanced posture of a driver based on an image of a driver’s seat; determining whether the unbalanced posture is a habitual unbalanced posture of the driver; calculating an opening degree of at least one eye of the driver based on the image in a case in which it is determined that the unbalanced posture is other than the habitual unbalanced posture; determining whether it is a timing to give a notification in a case in which the vehicle is traveling and the opening degree is equal to or larger than a first threshold; and giving the notification to the driver in a case in which it is determined that it is the timing to give the notification.

Aspects of the present invention relate to a control system for a vehicle (10) and an associated method of controlling a vehicle (10). The control system comprises one or more controllers, the control system being configured to: receive at least one identity signal indicative of an identity of a driver of the vehicle (10); determine a driver profile in accordance with a driver identity indicated by the or each identity signal; estimate a driver intent in accordance with the driver profile; and schedule a vehicle action in accordance with the driver intent.

A cabin monitoring and situation understanding perceiving method is proposed. A cabin interior image capturing step is performed to capture a cabin interior image. A generative adversarial network model creating step is performed to create a generative adversarial network model according to the cabin interior image. An image adjusting step is performed to adjust the cabin interior image to generate an approximate image. A cabin interior monitoring step is performed to process the approximate image to generate a facial recognizing result and a human pose estimating result. A cabin exterior image and voice capturing step is performed to capture a cabin exterior image and a voice information. A situation understanding perceiving step is performed to process at least one of the approximate image, the cabin exterior image and the voice information according to a situation understanding model to perceive a situation understanding result.

A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

An autonomous driving system configured to perform an autonomous driving of a vehicle includes a trigger input request unit configured to perform a trigger input request for requesting a driver of the vehicle to perform a trigger input for causing the vehicle to pass through a target point if the autonomously driving vehicle approaches the target point set in advance and positioned on a traveling route of the vehicle, a trigger input detection unit configured to detect the driver's trigger input, and a vehicle control unit configured to cause the vehicle to pass through the target point if the trigger input is detected, and causes the vehicle to decelerate and stop without passing through the target point if the trigger input is not detected.

An autonomous driving system configured to perform an autonomous driving of a vehicle includes a trigger input request unit configured to perform a trigger input request for requesting a driver of the vehicle to perform a trigger input for causing the vehicle to pass through a target point if the autonomously driving vehicle approaches the target point set in advance and positioned on a traveling route of the vehicle, a trigger input detection unit configured to detect the driver's trigger input, and a vehicle control unit configured to cause the vehicle to pass through the target point if the trigger input is detected, and causes the vehicle to decelerate and stop without passing through the target point if the trigger input is not detected.