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.

A method and a device for operating an assistance system of a vehicle involves detecting laterally static and laterally dynamic objects, which the vehicle is to drive past, as lateral boundary objects. A respective lateral distance of the vehicle from the respective lateral boundary object is detected. A speed of the respective laterally dynamic object is determined and at least the respectively laterally dynamic object is classified according to its type. A set of characteristic curves is stored in a control unit of the vehicle, the characteristic curves of the set being assigned in each case to an environmental situation predetermined depending on lateral boundary objects. It is predetermined by a respective characteristic curve for the respective environmental situation at what maximum speed the vehicle is to drive past a lateral boundary object at different lateral distances from the latter.

A vehicle controller includes: a surrounding area recognition unit that detects a state surrounding a subject vehicle; a human detection unit that detects a specific target object in a specific area into which entry of the specific target object is restricted; an automated driving control part that provides control such that the subject vehicle follows a vehicle traveling ahead thereof, based on a result detected by the surrounding area recognition unit. The automated driving control part makes the subject vehicle operate at at least one of a first support status, and a second support status which has an automated degree higher than that of the first support status or has a task required to be done by a vehicle occupant of the subject vehicle less than that of the first support status. When the subject vehicle is traveling at the first support status and the human detection unit has detected a specific target object, the automated driving control part keeps the support status of the subject vehicle unchanged at the first support status. When the subject vehicle is traveling at the second support status and the detection unit has detected therein a specific target object, the automated driving control part shifts the support status of the subject vehicle from the second support status to the first support status.

An environmental safety system may include first sensors each located at a predetermined physical location of a physical location and with a predetermined orientation. The system may receive first sensor data captured by the plurality of first sensors. The system may also determine values of parameters of an object within a threshold distance of the physical location using the first sensor data. The values of the parameters of the object may be transmitted to a vehicle approaching the physical location. The vehicle may receive second sensor data captured by second sensors in the vehicle. An optimized navigation of the vehicle approaching the physical location may be determined based on the values of the parameters of the object and the second sensor data. A driving action may be provided to the vehicle based on the optimized navigation of the vehicle.

Provided is an automated valet parking system that automatically moves an autonomous driving vehicle to a pick-up space of a parking place by issuing an instruction to the autonomous driving vehicle parked in the parking place according to a pick-up request from a user. The system includes a user position determination unit configured to determine whether or not a user frontend of the user is located in a preset pick-up area or a preset near-pick-up area including the pick-up space, a pick-up request reception unit configured to receive the pick-up request when the user position determination unit determines that the user frontend is located in the pick-up area or the near-pick-up area, and a vehicle instruction unit configured to instruct the autonomous driving vehicle that is a target of the pick-up request to move to the pick-up space when the pick-up request reception unit receives the pick-up request.

A driving assist system executes driving assist control for avoiding a collision with a target ahead of a vehicle. The driving assist control operates when the target exists within an assist area. First and second roadway boundaries of a roadway area are located on first and second sides as viewed from the vehicle, respectively. A crossing target is the target crossing the roadway area ahead of the vehicle from the first side toward the second side. The assist area for the crossing target is an area between an assist start boundary located on the first side as viewed from the vehicle and an assist end boundary located on the second side as viewed from the vehicle. The driving assist system sets the assist end boundary at a position between the vehicle and the second roadway boundary of the roadway area.

A configuration is provided so that information of detection of vehicles, pedestrians, etc. provided from a roadside device can be used by an automobile that cannot communicate with the roadside device. A warning device is configured to output a warning for an automobile traveling in a predetermined lane at an intersection where a roadside device is installed, the roadside device being configured to transmit information of detection of vehicles, pedestrians, etc., the warning device including a receiving unit configured to receive information of detection of vehicles, pedestrians, etc. transmitted from the roadside device and signal information of a signal lamp for the predetermined lane, and a warning unit configured to output a warning based on the information of detection of vehicles, pedestrians, etc. and the signal information received by the receiving unit.

An on-board sensor system includes: a first sensor configured to detect a situation around a vehicle; a second sensor having a higher angular resolution than the first sensor; an acquisition unit configured to acquire a detection result of the first sensor; and a range decision unit configured to decide, based on the detection result, an observation range to be observed by the second sensor around the vehicle.

A computer implemented method for tracking an object comprises the following steps carried out by computer hardware components: upon first detection of the object, assigning a first parameter to the object; carrying out a prediction of a state of the object; determining whether a second parameter is to be assigned to the object; carrying out re-initialization of the state of the object responsive to determining the first parameter is assigned to the object; and carrying out an update of the state of the object responsive to determining the second parameter is assigned to the object.

An apparatus for post-processing of a decision-making model of an autonomous vehicle receives a decision-making model including a plurality of states. The model is processed using multivariate data that comprises values for at least three observations of a vehicle operational scenario. A slice of the model decision space is generated by fixing values of all except two observations, and modifying the values of the two observations to obtain multiple alternative solutions for the model. The alternative solutions and the modified values form the slice. Each alternative solution is associated with a respective first value of a first observation and a respective second value of a second observation. The apparatus also generates a solution to a modified decision-making model that is the model modified by, for at least one state and at least one of the two observations, modifying a probabilistic transition matrix, a probabilistic observation matrix, or both.