Systems and methods are provided for detecting road user frustration due to autonomous vehicle driving behavior. An autonomous vehicle fleet can leverage information about typical road user behavior to create an index measuring the frustration level of other road users and/or likeability of autonomous vehicle behavior by other road users. Additionally, perception algorithms associated with sound detection and tracking can define human characteristics associated with frustrated drivers or other road users.

A path providing device for providing a route to a vehicle includes a first communication module configured to receive a high-definition (HD) map information from an external server, a second communication module configured to receive external information generated by an external device located within a predetermined range from the vehicle, and a processor configured to generate forward path information for guiding the vehicle based on the HD map and provide the forward path information to at least one of electric components provided in the vehicle. The processor is configured to generate dynamic information related to an object to be sensed by the at least one of the electric components based on the external information and to match the dynamic information to the forward path information.

A target vehicle speed generating device basically includes a determination unit and a correction unit. The determination unit determines whether or not a sudden change point is present in the target vehicle speed contained in the corrects the target vehicle speed so as to eliminate the sudden change point upon determining that the sudden change point is present by the determination unit. The sudden change point corresponds to a point at which acceleration changes in excess of a predetermined condition.

A driving assistance apparatus is configured to determine whether a preset deceleration assistance start condition is satisfied, start deceleration assistance for a driver's vehicle against a first deceleration-triggering object, determine whether a preset deceleration assistance termination condition is satisfied, issue a deceleration assistance termination notification to a driver of the driver's vehicle, determine whether a second deceleration-triggering object is detected ahead of the driver's vehicle, and determine whether a preset quick resumption condition is satisfied. The driving assistance apparatus is configured not to issue the deceleration assistance termination notification when the driving assistance apparatus determines that the quick resumption condition is satisfied, even in a case where the driving assistance apparatus determines that the deceleration assistance termination condition for the first deceleration-triggering object is satisfied.

In the present invention, it is possible to accurately predict, at an earlier timing, that a pedestrian will perform constant speed movement or a route change that is more complex than the constant speed movement. Provided is a travel control device that can accurately determine a change in the route of the pedestrian according to a change in the pedestrian's posture and, in particular, a change in the orientation of the body or a change in an inverted angle, and that can appropriately control the travel of the vehicle.

This invention provides a secure self-driving system or drive-assisting system. A drive control system of the present invention has an image recognition unit for detecting the peripheral environment of a vehicle and a drive control apparatus that controls driving of the vehicle, characterized by having a peripheral environment storage unit for storing the peripheral environment of the vehicle and by changing a mode of drive control performed by the drive control apparatus on the basis of a detection performance status of the image recognition unit obtained on the basis of information about the peripheral environment stored in the peripheral environment storage unit and information detected by the image recognition unit.

Disclosed is an autonomous driving device in which a threshold value for switching to manual driving which is used for switching a driving state from autonomous driving to manual driving with respect to degree to which a steering operation is carried out by a driver is calculated to be a greater value by a calculation unit when the direction of the steering operation is predicted to be a direction close to an obstacle than a threshold value when the direction of the steering operation is predicted to be a direction away from the obstacle or a threshold value when no obstacle is detected.

Methods and systems for assisting autonomous vehicles are provided. The methods and systems can help increase safety and consumer satisfaction with autonomous vehicles and help bridge the gap towards completely autonomy. A method for assisting autonomous vehicles can include providing an autonomous vehicle having sensory inputs and providing a remote control center having two-way communication with the autonomous vehicle. The autonomous vehicle can send its sensory input information to the control center and the control center can send control information to the autonomous vehicle.

When a travel path is to be generated for a vehicle, road surface lines (white lines, etc.) delimiting the traffic lane of the vehicle, and also external objects in the vehicle environment, are detected and registered as respective obstacles. Specific points are defined at appropriate locations on each obstacle, and the travel path is generated by connecting respective mid-point positions between opposed pairs of specific points, each pair defined on respective ones of an opposed (left-side, right-side) pair of the registered obstacles.

A driving support apparatus according to the invention estimates the position of a moving body by controlling a position estimation unit when the tracking-target moving body leaves a first area or a second area to enter a blind spot area and detects the position of the moving body by controlling a position detection unit when the moving body leaves the blind spot area to enter the first area or the second area. In this manner, the trajectory of the tracking-target moving body is calculated so that the trajectory of the moving body detected in the first area or the second area and the trajectory of the moving body estimated in the blind spot area are continuous to each other and driving support is executed based on the calculated trajectory of the tracking-target moving body.