A driving support ECU (21) of a driving support device (11a) executes automatic deceleration control for decelerating a vehicle (10) without a driver operating a brake pedal (105) when it is determined that a specific condition indicating that the driver intends to turn the vehicle (10) to the right or left at an intersection present in front of the vehicle (10) is satisfied. When a direction indicator (34, 35) stops operating during execution of the automatic deceleration control, the driving support ECU (21) continues the automatic deceleration control until a predetermined time period elapses from a time point at which the direction indicator (34, 35) stops operating, and ends the automatic deceleration control when the direction indicator (34, 35) continues to stop operating from when the direction indicator (34, 35) stops operating until the predetermined time period elapses.

A hazard prediction and a hazard avoidance procedure are performed based on a predetermined hazard avoidance condition during an autonomous driving operation of a vehicle. User-input information about a driving operation of the vehicle; is received, and area or object information is checked to determine the area or the object as a monitoring target. The monitoring target is tracked. At least one additional hazard avoidance procedure for the monitoring target is set, and the at least one additional hazard avoidance procedure is performed in addition to the hazard avoidance procedure when the monitoring target approaches the vehicle.

A method for predicting traffic light information by using a LIDAR is provided. The method includes steps of: (a) on condition that each of metadata has been allocated for each of virtual boxes included in a region covered by the LIDAR, obtaining, by a server, at least part of start timing information and stop timing information of a plurality of vehicles for each of the virtual boxes; and (b) predicting, by the server, each of pieces of the traffic light information respectively corresponding to each of the virtual boxes by referring to at least part of the start timing information and the stop timing information of the vehicles for each of the virtual boxes.

A method for risk-aware game-theoretic trajectory planning is described. The method includes modeling an ego vehicle and at least one other vehicle as risk-aware agents in a game-theoretic driving environment. The method also includes ranking upcoming planned trajectories according to a risk-aware cost function of the ego vehicle and a risk-sensitivity of the other vehicle associated with each of the upcoming planned trajectories. The method further includes selecting a vehicle trajectory according to the ranking of the upcoming planned trajectories based on the risk-aware cost function and the risk-sensitivity of the other vehicle associated with each of the upcoming planned trajectories to reach a target destination according to a mission plan.

A driving assistance apparatus including a detection part detecting surroundings of a subject vehicle and a microprocessor. The microprocessor is configured to perform acquiring traffic light information including a remaining time period until a traffic light installed at an intersection is switched, controlling a notification part so as to notify a driver of the subject vehicle of switching information of the traffic light from a first mode capable of passing through the intersection to a second mode incapable of passing through the intersection, and determining whether there is a space into which the subject vehicle is movable in an area after passing through the intersection based on the surroundings. The microprocessor is configured to perform the controlling including controlling the notification part so as to notify the driver of warning information together with the switching information when it is determined that there is not the space.

A method and device for operating an automated vehicle at a traffic intersection. The method includes: acquiring an environment of the automated vehicle including the traffic intersection; preparing an environment map based on the acquired environment, the environment map including a subdivision into grid cells, each including occupancy probabilities and velocity distributions; acquiring an updated environment of the automated vehicle; adapting the occupancy probabilities and the velocity distributions for each grid cell; determining the occupancy probabilities and velocity distributions of an expected environment in a next time step; repeatedly executing the steps until a final occupancy probability and a final velocity distribution is determined for each grid cell according to predefined criteria; determining a driving strategy for the automated vehicle as a function of the final occupancy probabilities and the final velocity distributions; and operating the automated vehicle as a function of the driving strategy.

An apparatus, method and computer program product are provided for providing audio-based navigation. In one example, the apparatus determines reliability of a navigation technique for a vehicle. If the navigation technique is unreliable, the apparatus causes the vehicle to rely on audio-based navigation to traverse a route. The audio-based navigation provides one or more navigational instructions based on a sound signature associated with a location.

Among other things, techniques are described for determining precedence order at a multiway stop. In embodiments, identifications are assigned to tracks, and young tracks are compared to stale tracks. A young track matches a stale track based on one or more factors. An identification of the young track is reassigned to an identification of the stale track, wherein the young track is determined to match the stale track based on the one or more factors. An earliest time of appearance of agents is determined based on identifications and in view of perception obscured areas. A precedence order for navigating through the intersection is determined based on local rules, the identifications, and the earliest time of appearance of agents, and the vehicle proceeds through the multiway stop intersection in accordance with the precedence order.

A driving support apparatus includes a surrounding sensor which acquires surrounding information, and a control unit which executes driving support control when a execution condition is satisfied. The control unit performs overwrite processing or retention processing based on whether or not a specific condition is satisfied. The specific condition is satisfied when the number of types of directions other than a straight direction included in permitted travel directions of a first road arrow marking detected at a first time point is less than the number of types of directions other than a straight direction included in the permitted travel directions included in second road arrow information already stored in a storage device at the first time point. The control unit then determines whether or not the execution condition is satisfied at the first time point based on the overwritten or retained road arrow information.

Embodiments described herein may provide a method for management of vehicles at intersections. Methods may include: receiving probe data from probe apparatuses proximate an intersection between two or more road segments; identifying a first vehicle approaching the intersection from the probe data; determining, for the first vehicle approaching the intersection, a safe stop distance, where the safe stop distance includes a distance to stop the first vehicle from a current speed of the first vehicle; generating a warning message in response to the safe stop distance of the first vehicle being greater than a distance of the first vehicle from the intersection; and providing the warning message to one or more other vehicles approaching, at, or within the intersection, where the warning message provides an indication that the first vehicle cannot safely stop before entering the intersection,