A traveling control apparatus includes at least one processor. The at least one processor is configured to function as a driving assistance controller. The driving assistance controller is configured to delay a change in a lateral position of a preceding vehicle traveling ahead of the vehicle to obtain a delay lateral position of the preceding vehicle, and provide steering control that causes the vehicle to track the preceding vehicle on a basis of the delayed lateral position of the preceding vehicle.

To provide a preceding vehicle determination system and a preceding vehicle determination method which can improve the determination accuracy of the preceding vehicle, considering an estimation error of the traveling lane of the own vehicle. A preceding vehicle determination system and a preceding vehicle determination method estimates a high probability region which is a region where the own vehicle probably travels and estimates a middle probability region which is a region where a possibility that the own vehicle travels is lower than the high probability region, based on the traveling state of the own vehicle; and determines whether the front vehicle is a which is traveling forward in a traveling lane of the own vehicle, based on the position history of the front vehicle, the high probability region, and the middle probability region.

A control device is used in a subject vehicle capable of performing autonomous driving with no obligation for a driver to monitor periphery. The control device determines whether a permission state, in which a specific act other than driving is permitted to the driver, is continued or not when approach of an emergency vehicle to the subject vehicle is detected during an autonomous cruising period in which the autonomous driving is being performed. The control device restricts display of a content provided to the driver when the permission state of the specific act is determined to be not continued.

A vehicular collision avoidance system includes a forward-viewing camera, a rearward-viewing camera, a rearward-sensing non-vision sensor and an electronic control unit. The vehicular collision avoidance system detects vehicles present forward and/or rearward of the equipped vehicle. Responsive to at least one selected from the group consisting of (i) data processing of image data captured by the rearward-viewing camera and (ii) data processing of sensor data captured by the rearward-sensing non-vision sensor, the vehicular collision avoidance system detects another vehicle approaching the equipped vehicle from the rear, determines that the other vehicle is traveling in the same traffic lane as the equipped vehicle, determines speed difference between the vehicles, and determines distance from the equipped vehicle to the other vehicle. Based on such determinations, the system determines that impact with the equipped vehicle by the other vehicle is imminent.

A process for sensor sharing for an autonomous lane change is provided. The process includes, within a dynamic controller of a host vehicle, monitoring sensors of the host vehicle, establishing communication between the host vehicle and a confederate vehicle on a same roadway as the host vehicle, monitoring sensors of the confederate vehicle, within the dynamic controller of the host vehicle, utilizing data from the sensors of the host vehicle and data from the sensors of the confederate vehicle to initiate a lane change maneuver for the host vehicle, and executing the lane change maneuver for the host vehicle.

Provided is a system and method that can control a merge of an autonomous vehicle when other vehicles are present on the road. In one example, the method may include iteratively estimating a series of values associated with one or more vehicles in an adjacent lane with respect to an ego vehicle, identifying a trend associated with the one or more vehicles from the iteratively estimated series of values, determining merge intentions of the one or more vehicles with respect to the ego vehicle based on the identified trend over time, verifying the merge intentions against a simulated change in the trend, selecting a merge position of the ego vehicle with respect to the one or more vehicles within the lane based on the verified merge intentions, and executing an instruction to cause the ego vehicle to perform a merge operation based on the selected merge position.

An autonomous driving system includes an electronic control unit. The electronic control unit is configured to suggest to a driver that a host vehicle overtake a preceding vehicle during autonomous driving, recognize whether the driver accepts a suggestion for the overtaking, when the electronic control unit recognizes that the driver accepts the suggestion, cause the host vehicle to overtake the preceding vehicle, and, when the electronic control unit recognizes that the driver rejects the suggestion, not cause the host vehicle to overtake the preceding vehicle, set a first prohibition duration, and, when the electronic control unit suggests to the driver that the host vehicle overtake the preceding vehicle and recognizes that the driver rejects the suggestion, extend the first prohibition duration as compared to when the electronic control unit suggests to the driver that the host vehicle overtake the preceding vehicle and recognizes that the driver accepts the suggestion.

A vehicle driving assistance device includes a processor. The processor is configured to execute acceleration suppression control for suppressing acceleration of a driver's vehicle in a case where a predetermined prohibition condition is not satisfied when an erroneous acceleration operation precondition is satisfied while a traveling condition is satisfied. The traveling condition is a condition for determining that the driver's vehicle is traveling. The erroneous acceleration operation precondition is a precondition for determining that an acceleration operation is erroneously performed. The acceleration operation is an operation performed by a driver of the driver's vehicle to request the acceleration of the driver's vehicle. The predetermined prohibition condition is based on a relationship between the driver's vehicle and an external environment of the driver's vehicle.

Implementations described and claimed herein provide systems and methods for controlling an autonomous vehicle. In one implementation, the autonomous vehicle is navigated towards a flow of traffic with a first gap between first and second vehicles and a second gap following the second vehicle. A motion plan for directing the autonomous vehicle into the flow of traffic at an interaction zone is generated based on whether an ability of the autonomous vehicle to enter the interaction zone at the second gap exceeds a confidence threshold. The autonomous vehicle is autonomously navigated into the flow of traffic at the first gap when the confidence threshold is exceeded. The motion plan forgoes navigation of the autonomous vehicle into the flow of traffic at the first and second gaps when the ability of the autonomous vehicle to enter the interaction zone at the second gap does not exceed the confidence threshold.

Redundant environment perception tracking for automated driving systems. One example embodiment provides a surveillance system, the system including a plurality of sensors, a memory, and an electronic processor. The electronic processor is configured to receive, from the plurality of sensors, environmental information of a common field of view, generate, based on the environmental information, a plurality of hypotheses regarding an object within the common field of view, the plurality of hypotheses including at least one set of hypotheses excluding the environmental information from at least one sensor of a first sensor type, determine, based on a subset of the plurality of hypotheses, an object state of the object, wherein the subset includes the at least one set of hypotheses excluding the environmental information from the at least one sensor of the first sensor type, and track the object based on the object state that is determined.