Autonomous vehicles need to plan at the task level to compute a sequence of symbolic actions, such as merging left and turning right, to fulfill people's service requests, where efficiency is the main concern. At the same time, the vehicles must compute continuous trajectories to perform actions at the motion level, where safety is the most important. Task-motion planning in autonomous driving faces the problem of maximizing task-level efficiency while ensuring motion-level safety. To this end, we develop algorithm Task-Motion Planning for Urban Driving (TMPUD) that, for the first time, enables the task and motion planners to communicate about the safety level of driving behaviors. TMPUD has been evaluated using a realistic urban driving simulation platform. Results suggest that TMPUD performs significantly better than competitive baselines from the literature in efficiency, while ensuring the safety of driving behaviors.

A driving assistance device of an embodiment includes a recognizer that recognizes a state of a surrounding object that is an object present in the surroundings of a vehicle and a traveling status of the vehicle, a detector that detects a first direction that is a direction of a line of sight of a driver of the vehicle, a determiner that determines whether or not the surrounding object is a target object to be watched by the driver on the basis of the state of the surrounding object and the traveling status, and a display controller that, in a case where it is determined that the surrounding object is the target object, displays first information for guiding the line of sight of the driver toward the target object on one or a plurality of displays on the basis of the first direction detected by the detector and a second direction in which the target object is present when viewed from the driver, in which the display controller determines at least one display to display the first information from among the plurality of displays on the basis of the first direction detected by the detector, or determines a mode of the first information to be displayed on the display.

A method of controlling a vehicle includes acquiring biometric data of a user in the vehicle, determining first determination information related to inattention of the user based on the biometric data, acquiring driving related information of the vehicle, determining second determination information related to driving complexity based on the driving related information, and determining whether to provide a feedback function to the user based on the first determination information and the second determination information.

The disclosure relates to a collision risk reduction device and method. According to the disclosure, a device for reducing a risk of collision comprises a receiver receiving, from a sensor, object information, an interval setting unit setting an interval predetermined in left and right directions of a traveling direction of the host vehicle, as a first reference interval, and setting an interval, which is a predetermined length larger than the first reference interval, as a second reference interval, a controller determining a type of the object based on the object information if the object approaches within the second reference interval and setting an alarm including the type and location of the object and, if the object approaches within the first reference interval, setting an alarm for avoiding collision with the object based on the type of the object, and an output unit outputting the set alarms.

A moving body obstruction detection device includes: a detection section that detects a predetermined moving body within an image that is captured by an imaging section provided at a vehicle; and an inferring section that infers a moving body state that relates to the moving body crossing a road, based on a position of a bounding box that surrounds the moving body detected by the detection section.

Systems and methods for connected vehicle and mobile device communications are provided herein. An example method includes determining a distracted condition for at least one of a driver or a pedestrian by evaluating actions occurring within in a vehicle of the driver or on a mobile device of the pedestrian; determining a distraction level for either the driver or the pedestrian based on the actions occurring within in the vehicle or on the mobile device; and providing an alert message to the mobile device or a human machine interface of the vehicle based on the distraction level, the alert message warning of a distracted condition of the pedestrian or the driver.

A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle including a predetermined object located near the vehicle; and a driving controller configure to control steering and a speed of the vehicle. The driving controller controls the speed of the vehicle such that the vehicle passes the predetermined object at a greater speed when the vehicle passes the predetermined object which is located ahead in a traveling direction of the vehicle and is moving in an opposite direction to the traveling direction of the vehicle than a speed when the vehicle passes the predetermined object which is located ahead in the traveling direction of the vehicle and is moving in the same direction as the traveling direction of the vehicle.

A travel control device executes an acquisition function to acquire object information including the position of an avoidance object which a subject vehicle should avoid, a planning function to plan a target route for the subject vehicle in accordance with the position of the avoidance object, and a control function to output command information for driving the subject vehicle on the target route. The planning function is used to specify a plurality of avoidance objects that are located within a predetermined distance from the subject vehicle and exist in the same lane adjacent to a lane in which the subject vehicle travels and to set a lateral position of the target route along the width direction of a road on which the subject vehicle is traveling. The lateral position of the target route is planned so as to avoid the avoidance objects

A collision avoidance system for a vehicle includes an electronic brake system capable of applying wheel brakes to decelerate the vehicle, a steering system capable of changing a steering angle for the vehicle, and a controller. The controller instructions for performing a pedestrian avoidance maneuver including at least one of steering the vehicle to the maximum available separation distance and braking the vehicle to the maximum safe speed while the vehicle is passing the pedestrian.

The present disclosure is directed to deviating from a planned path for an autonomous vehicle. In particular, a computing system comprising one or more computing devices physically located onboard an autonomous vehicle can identify one or more boundaries at least in part defining a lane in which the autonomous vehicle is traveling along a path of a planned route. Responsive to identifying one or more obstructions ahead of the autonomous vehicle along the path, the computing system can: determine one or more deviations from the path that would result in the autonomous vehicle avoiding the obstruction(s) and at least partially crossing at least one of the one or more boundaries; and generate, based at least in part on the deviation(s), a motion plan instructing the autonomous vehicle to deviate from the path such that it avoids the obstruction(s) and continues traveling along the planned route.