A driving assistance method includes: detecting a first other vehicle entering an intersection on a first route where a host vehicle is traveling from a second route; predicting whether or not the first other vehicle will stop in the intersection, and predicting a stop position of the first other vehicle; calculating a minimum distance of a first gap between a vehicle body of the first other vehicle and a surrounding object around the first other vehicle or between the vehicle body of the first other vehicle and a road edge of a travel lane of the first other vehicle when the first other vehicle stops at the predicted stop position; and predicting according to the calculated minimum distance whether or not a second other vehicle, which is a following vehicle behind the first other vehicle, may slip through the first gap from behind the first other vehicle.

In one embodiment, a computing system of a vehicle may receive vehicle driving data associated with a vehicle driving in an environment and detected environment data associated with the environment. The system may generate a reference trajectory of the vehicle driving in the environment based on the vehicle driving data. The system may determine driving constraints associated with the environment based on the detected environmental data. The system may generate a trajectory of the vehicle based on the driving constraints. The system may determine a difference in at least one parameter associated with the trajectory relative to at least one corresponding parameter associated with the reference trajectory. The system may adjust weight values associated with cost functions of the trajectory based on the difference between the at least one parameter associated with the trajectory and the corresponding parameter associated with the reference trajectory.

An automatic driving assist apparatus for a vehicle includes: a map information storage unit; an own vehicle position estimator; a route information input unit; a traveling route setting unit; a target path setting unit configured to set a target path to a center of a traveling lane; a road condition acquirer; and an automatic driving controller. The automatic driving controller further includes a branch lane determiner and a target path lateral position change amount calculator. The target path setting unit corrects the target path with a lateral position change amount calculated by the target path lateral position change amount calculator, to set a new target path.

System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.

Among other things, techniques are described for screening and monitoring the health of a vehicle user including receiving sensor data produced by a sensor at the vehicle, processing the sensor data to determine at least one health condition of the user of the vehicle, and in response to determining the at least one health condition, executing a vehicle function selected from a plurality of vehicle functions based on the at least one health condition.

A vehicle control system includes a computer including a processor and a memory storing instruction executable by the processor to, in response to detecting hands being off a steering wheel for a threshold time while a lane-centering assist operation is active, steer a vehicle including the steering wheel from a center of a lane to a lateral position between the center of the lane and an edge of the lane; then steer the vehicle from the lateral position to the center of the lane; and then maintain the vehicle at the center of the lane.

Techniques for detecting and responding to an emergency vehicle are discussed. A vehicle computing system may determine that an emergency vehicle based on sensor data, such as audio and visual data. In some examples, the vehicle computing system may determine aggregate actions of objects (e.g., other vehicles yielding) proximate the vehicle based on the sensor data. In such examples, a determination that the emergency vehicle is operating may be based on the actions of the objects. The vehicle computing system may, in turn, identify a location to move out of a path of the emergency vehicle (e.g., yield) and may control the vehicle to the location. The vehicle computing system may determine that the emergency vehicle is no longer relevant to the vehicle and may control the vehicle along a route to a destination. Determining to yield and/or returning to a mission may be confirmed by a remote operator.

There is provided a travel control apparatus. A control unit controls a position of the self-vehicle in a width direction so as to ensure a first predetermined interval between the self-vehicle and the other vehicle and to ensure a second predetermined interval between the self-vehicle and the boundary of the first lane. In a case in which both the first predetermined interval and the second predetermined interval cannot be ensured, the control unit controls the position of the self-vehicle in the width direction to preferentially ensure the first predetermined interval when the other vehicle has crossed a first boundary between the first lane and the second lane and to preferentially ensure the second predetermined interval when the other vehicle has not crossed the first boundary.

A collision avoidance method for a vehicle includes monitoring a lateral distance between the vehicle and a target vehicle while the vehicle is travelling within a first lane and the target vehicle is travelling within an adjacent second lane, activating a warning on the vehicle and automatically adjusting operation of the vehicle to increase the distance between the vehicle and the target vehicle when the lateral distance between the vehicle and the target vehicle is less than the threshold distance while the vehicle is travelling within the first lane. Automatically adjusting operation of the vehicle may include one or both of steering the vehicle laterally away from the target vehicle and adjusting a longitudinal velocity of the vehicle. A related collision avoidance system is also provided.

The present invention provides a travel control apparatus for controlling traveling of a self-vehicle to avoid another vehicle on a front side, the apparatus comprising: a calculation unit for calculating a relative speed between the self-vehicle and the other vehicle; a state detection unit for detecting an operation state of the other vehicle; and a control unit for controlling avoidance processing of avoiding the other vehicle and causing the self-vehicle to pass a lateral side of the other vehicle, wherein the control unit changes a separation distance to separate the self-vehicle and the other vehicle in the avoidance processing in accordance with the relative speed calculated by the calculation unit and the operation state detected by the state detection unit.