A travel control apparatus that controls travel of a vehicle, comprises: a recognition unit configured to recognize external environment of the vehicle; and a travel control unit configured to control travel of the vehicle based on a result of recognition by the recognition unit. When the vehicle proceeds, at an intersection, to an intersecting traffic lane that intersects a traffic lane in which the vehicle travels, if the intersection is an intersection that satisfies a condition, the travel control unit controls the travel of the vehicle by a different travel control from a travel control for causing the vehicle to proceed through an intersection that does not satisfy the condition.

Various embodiments of the invention enable an ADV to dynamically adjust its behaviors to emulate behaviors of a vehicle operated by a human driver when the ADV encounters an obstacle. A dynamic cost function can be used to collect real-time values of a set of parameters, and use the real-time values to constantly adjust a preferred safety distance where the ADV can be stopped ahead of the obstacle. An method includes determining a first distance to the obstacle in response to detecting an obstacle ahead of the ADV; and for each of a number of iterations, collecting a real-time value for each of a set of parameters, determining an offset to the first distance using the real-time value for each of the set of parameters, calculating a second distance based on the first distance and the offset, and controlling the ADV in view of the second distance using an expected value of each of the set of parameters, such that the ADV can stop at a point having the second distance to the obstacle.

A driving assistance system for a vehicle, comprising: a detection unit configured to detect information regarding surroundings of the vehicle; and a control unit configured to perform driving assistance control based on information detected by the detection unit, wherein, when the control unit performs an operation of stopping movement due to an object detected by the detection unit during the driving assistance control, the control unit restarts the movement after a predetermined time elapses from when the stop operation is started.

A driver assistance system according to an embodiment of present disclosure includes: a camera disposed on the vehicle to have an external field of view of a vehicle and configured to obtain image data; a radar disposed on the vehicle to have a field of sensing outside the vehicle and configured to obtain radar data; and a controller including a processor configured to process the image data and the radar data, and the controller is configured to determine whether a rear vehicle changes direction based on the image data obtained by the camera, determine whether there is a risk of collision with the rear vehicle based on the radar data when the rear vehicle does not change direction and control at least one of a steering system or a vehicle velocity control system of the vehicle to avoid the rear vehicle when it is determined that there is a risk of collision with the rear vehicle.

An image processing device applied to a driving assistance system, which includes: a driving assistance device that detects a relative position of a lane marking with respect to a vehicle and assists a driving of the vehicle based on a detected positional information; and a head-up display device that projects a display image on a projection area arranged on the vehicle to visually recognize a virtual image of the display image, includes: an acquisition device that acquires the positional information; and a generation device that generates the display image including a predetermined display element. The generation device generates the display image to visually recognize the display element at a position associated with the positional information and to visually recognize the display element as a shape inclined toward the vehicle from the lane marking.

An autonomous vehicle may include a stuck condition detection component and a communications component. The stuck-detection component may be configured to detect a condition in which the autonomous vehicle is impeded from navigating according to a first trajectory. The communications component may send an assistance signal to an assistance center and receive a response to the assistance signal. The assistance signal may include sensor information from the autonomous vehicle. The assistance center may include a communications component and a trajectory specification component. The communications component may receive the assistance signal and send a corresponding response. The trajectory specification component may specify a second trajectory for the autonomous vehicle and generate the corresponding response that includes a representation of the second trajectory. The second trajectory may be based on the first trajectory and may ignore an object that obstructs the first trajectory.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify, from the sensing data, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a safe longitudinal distance being calculated based on the host vehicle and target vehicle braking distances.

In a peripheral-information determining apparatus, a peripheral-information acquiring unit acquires peripheral information indicating circumstances around a subject vehicle, from a peripheral-information detector that detects the circumstances around the subject vehicle. An intention estimating unit estimates, from person movement information, an intention of a person around the subject vehicle or an instruction of an indicator around the subject vehicle. The person movement information is included in the peripheral information, and is a piece of information that indicates a movement of the person, or a movement of the indicator that imitates a person's movement. A controller controls a travel controller or an outward-notification apparatus on the basis of the peripheral information and an estimated result that is obtained from the intention estimating unit. The travel controller controls the traveling of the subject vehicle. The outward-notification apparatus notifies information to the outside of the subject vehicle.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving an indication of a sensor anomaly, determining one or more sensor recovery strategies based on the sensor anomaly, and executing a course of action that ensures the autonomous vehicle system operates within accepted parameters. Alternative sensors may be relied upon to cover for the sensor anomaly, which may include a failed sensor while the autonomous vehicle is in operation.

A vehicle control system includes: a detector configured to detect objects around a vehicle; a predictor configured to predict the extent of stress caused to an occupant by the objects according to a distribution of the objects detected by the detector; and a controller configured to generate a trajectory when the vehicle is traveling by automated driving according to the extent of stress predicted by the predictor.