A computer, including a processor and a memory, the memory including instructions to be executed by the processor to receive a vehicle path from a server computer and verify the vehicle path based on vehicle dynamics and vehicle constraints. The instruction can include further instructions to, when the vehicle path is verified as correct, operating the vehicle on the vehicle path and, when the vehicle path is verified as incorrect, stopping the vehicle.

An apparatus includes a memory, and circuitry which, in operation, performs operations including, storing, in the memory, an object occurrence map defining an occurrence area where there is a possibility that an object appears, detecting the object included in a captured image of a scene seen in a running direction of a vehicle, switching a vehicle drive mode, based on a result of the detection of the object and the object occurrence map, from an automatic drive mode in which the vehicle is automatically driven to a manual drive mode in which the vehicle is driven manually by a driver, and controlling driving of the vehicle in the switched manual drive mode.

A navigation system for a host vehicle may include at least one processor programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle. The processor may also be programmed to analyze at least one of the plurality of images to identify navigational state information associated with the host vehicle; determine a plurality of potential trajectories for the host vehicle based on the navigational state information; perform a preliminary analysis relative to each of the plurality of potential trajectories and assign to each of the plurality of potential trajectories, based on the preliminary analysis, at least one indicator of relative ranking; select, based on the at least one indicator of relative ranking assigned to each of the plurality of potential trajectories, a subset of the plurality of potential trajectories, wherein the subset of the plurality of potential trajectories includes fewer potential trajectories than the plurality of potential trajectories; perform a secondary analysis relative to the subset of the plurality of potential trajectories, and based on the secondary analysis, select one of the subset of the plurality of potential trajectories as a planned trajectory for the host vehicle; determine one or more navigational actions for the host vehicle based on the planned trajectory selected from among the subset of the plurality of potential trajectories; and cause at least one adjustment of a navigational actuator of the host vehicle to implement the one or more navigational actions for the host vehicle.

The pedestrian tracking system implemented in a host vehicle is disclosed. The system estimates trajectories of the host vehicle and the pedestrian based on factors of position and velocity of the host vehicle and parameters of position and velocity of the pedestrian. The trajectories of the host vehicle and the pedestrian are estimated to estimate a point of intersection of the host vehicle and the pedestrian. Further, the system estimates time to collision based on the estimated point of intersection and determines trajectory of the pedestrian in path of the host vehicle. Furthermore, the system assesses collision risk to select the pedestrian as a target and generates a deceleration actuation command to decelerate the host vehicle based on the selected target, which is provided to an automatic emergency braking (AEB) actuation unit.

The present disclosure relates to a vehicle control method, a vehicle control device, and a vehicle control system including same. Specifically, a vehicle control device according to the present disclosure includes: a vehicle travel route estimation unit which estimates a first travel route of a vehicle on the basis of the turn radius and traveled distance of the vehicle, when the speed of the vehicle is equal to or less than a preset speed; a target travel route predicter which confirms a target from periphery detection information about the periphery of the vehicle, and predicts a second travel route of the target; a collision determiner which determines whether there is a possibility of a collision between the vehicle and the target; and a vehicle control unit which controls to perform at least one among an alert control, a brake control, and an avoidance control, when there is a possibility of a collision between the vehicle and the target.

An external environment recognition device includes: a plurality of external environment recognition sensors each having an information detection unit that detects information of an object outside a vehicle, the plurality of external environment recognition sensors being arranged such that a detection range of the information detection unit includes an overlapping region where at least part of the detection range of the information detection unit overlaps with at least part of the detection range of another one of the information detection units; and a synchronous processing unit that extracts identical objects in the overlapping region from detection results of the external environment recognition sensors, and performs synchronous processing to synchronize the plurality of external environment recognition sensors if there is a deviation in position between the identical objects in the overlapping region.

Among other things, techniques are described for planning a route for an autonomous vehicle. As an example, a set of candidate constraints for a road segment to be traversed by a vehicle is obtained. A plurality of homotopies are determined, each including a different respective combination of the candidate constraints. For each homotopy, a first prediction of a motion of the vehicle is generated according to a first degree of precision, and a determination is made that the vehicle can traverse the road segment according to a subset of the homotopies. Further, a plurality of trajectories are determined according to the subset of the homotopies, including generating at least one second prediction of the motion of the vehicle according to a second degree of precision greater than the first degree of precision, and selecting one of the trajectories.

The vehicle control system is configured to execute autonomous driving and collision avoidance assistance. The autonomous driving is a process in which an ego-vehicle is autonomously driven based on necessary information for traveling including map information and information on a surrounding environment of the ego-vehicle. The collision avoidance assistance is a process in which the ego-vehicle is operated to avoid a collision in response to that a risk of collision of the ego-vehicle with a forward obstacle exceeds a threshold. The vehicle control system is configured to lower the threshold when the ego-vehicle travels, by the autonomous driving, in an area in which either one of an ego-lane and an opposite lane adjacent to the ego-lane is not travelable.

The present disclosure relates to a method and system for communication between a vulnerable road user and an autonomous vehicle using augmented reality to highlight information to the vulnerable road user regarding potential interactions between the autonomous vehicle and the vulnerable road user.

Systems and methods are provided for vehicle navigation. In one implementation, at least one processor may receive, from a camera, at least one captured image representative of features in an environment of the vehicle. The processor may identify an intersection and a pedestrian in a vicinity of the intersection represented in the image. The processor may determine a navigational action for the vehicle relative to the intersection based on routing information for the vehicle; and determine a predicted path for the vehicle relative to the intersection based on the determined navigational action and a predicted path for the pedestrian based on analysis of the image. The processor may further determine whether the vehicle is projected to collide with the pedestrian based on the projected paths; and, in response, cause a system associated with the vehicle to implement a collision mitigation action.