Disclosed are a driving guide system and method. The driving guide system includes an input unit configured to receive signal information from a signal controller, a memory in which a driving guide program using the signal information is embedded, and a processor configured to execute the program. When it is not possible to recognize a traffic light using a camera, the processor determines a driving behavior using the signal information and then performs autonomous driving according to the driving behavior or provides a notification to a driver.

A control apparatus of a vehicle includes a collision determination unit configured to determine whether there is the possibility that the vehicle will collide with an object moving in a direction intersecting a longer direction of the vehicle, a signal determination unit configured to determine whether or not a traffic light in front of the vehicle is red, and a braking control unit configured to apply braking force to the vehicle. When the vehicle is travelling toward an intersection, in a case where it is determined that there is the possibility that the vehicle will collide with the moving object, the braking control unit applies higher braking force, and in a case where it is not determined that there is such a possibility and it is determined that the traffic light is red, the braking control unit applies lower braking force.

The invention relates to a device for determining the driving behavior of a driver, the device comprising at least means for receiving data from two or more data sources, of which at least one produces data relating to changes in the state of motion of a vehicle and at least one other produces measured data on the well-being of the driver; means for scoring the received data by comparing it with data-specific reference values; means for forming a respective sub-index from each scored item of data; means for determining a driving behavior index on the basis of the formed sub-indices; and means for controlling control equipment of the vehicle on the basis of the driving behavior index and/or for storing the driving behavior index in a database.

Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

Systems and methods for managing speed thresholds for a fleet of vehicles are disclosed. Input is used to provide associations between particular weather-relation conditions (such as rain) and arithmetic operations, that may be used to determine a current speed threshold as a function of a local posted speed limit at the current location of a vehicle. The current speed threshold is subsequently used to detect whether vehicles are exceeding the current speed threshold.

A method for operating a vehicle hazardous parking warning system for warning a user of a first vehicle about hazardous parking of the first vehicle. The method includes detecting that the first vehicle enters a parking state at a parking position along the roadside; determining whether the parking position of the first vehicle is hazardous in terms of risk that the parked first vehicle being hit by a second, rear-coming, vehicle by retrieving stored forwards visibility information that was registered by a forwards directed sensor unit of the first vehicle while travelling of the first vehicle before entering the parking state; calculating a level of a risk parameter reflecting a risk for the parked first vehicle being hit by the second vehicle, based on the forwards visibility information; and determining that the parking position is a hazardous parking position when the risk parameter exceeds a threshold value.

Provided is a vehicle braking support device. The braking support device includes: detection units for detecting a state around a host vehicle; a braking support control unit for executing braking support by a braking device according to the detected state; and a vehicle stop control unit for maintaining a stopped state of a host vehicle after the host vehicle is stopped by the braking support control unit, and for releasing the stopped state of the host vehicle after a predetermined period has elapsed. The vehicle stop control unit, in a case where by using the detected state it is determined that it is desirable to maintain the stopped state of the host vehicle beyond the predetermined period, the vehicle stop control unit does not release the stopped state of the host vehicle until an operation by a driver is detected.

A method for determining passage of an autonomous vehicle includes: acquiring information about an intersection on a driving route of the autonomous vehicle, wherein the information about the intersection comprises lane data; acquiring a historical trajectory of an obstacle in the intersection within a specific time; acquiring, by matching the historical trajectory of the obstacle with center lines of respective lanes in the lane data, a lane with smallest matching error; and determining that the lane with the smallest matching error is in a passable state, wherein the lane with the smallest matching error is a lane where the obstacle is located.

This application provides a method and an apparatus for planning a vehicle trajectory, an intelligent driving domain controller, and an intelligent vehicle. One example method includes: An intelligent driving domain controller of a first vehicle obtains a first trajectory of the first vehicle, obtains a second trajectory of at least one second vehicle based on a first communications technology, and then determines trajectory planning of the first vehicle based on the first trajectory and the second trajectory of the at least one second vehicle.

A graph representation of a tactical map representing a plurality of static components of an environment of a vehicle is generated. Nodes of the graph represent static components, and edges represent relationships between multiple static components. Different edge types are used to indicate respective relationship semantics among the static components. Individual nodes are represented as having the same number and types of edges in the graph. Using the graph as input to a neural network based model, a set of results is obtained. A motion control directive based at least in part on the results is transmitted to a motion-control subsystem of the vehicle.