Techniques for encoding image data are discussed. Image data containing multiple image frames can be received from an image sensor associated with a vehicle. A first image frame and a second image frame may be associated with a first data chunk. A first metadata associated with the first image frame can be identified. Additionally, a second metadata associated with the second image frame can be identified. The first data chunk can be created that includes the first image frame, the second image frame, the first metadata, and the second metadata. The first data chunk can be stored in a video container, where the video container can be indexed to access the first image frame with the first metadata or the second image frame with the second metadata.

This application discloses an object control system (OCS) to control navigation of a moving vehicle when exiting from its own road or freeway to a new road or freeway. The new road or freeway is an underpass or overpass and have no physical junction with the moving vehicle's own road or freeway. The moving vehicles obtains its navigation information data from the IoT network it is registered with and a plurality of stationary objects near and in vicinity of an exit. The stationary objects during the time slots assigned to them by OCS transmit variety of information data that assist moving vehicle navigating to the right lane and exit. These stationary objects also provide an operation information data that is used in the new road or freeway in case the vehicle exits to a road or freeway that belongs to a new cell with different operation information data.

A method predicts a switch state and/or a switch time point of a signaling system. The method includes collecting first and second state data, the first and second state data influencing the switch state and/or switch time point. The collection of the first state data includes reading of state data from a signaling system control device of the signaling system by a signaling system interface. The collection of the second state data includes reading in of the state data. A prediction model is provided and configured to make a prediction of the switch time point and/or the switch state of the signaling system based on first and second state data. The switch state and/or the switch time point of the signaling system is predicted via the prediction model using the first and second state data. The predicted switch state and/or switch time point of the signaling system is outputted.

A method and a device for determining emergency trajectories. A method and a device for operating an automated vehicle are also described.

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a connected reference marker technology configured to serve automated driving systems by providing, supplementing, and/or enhancing autonomous driving functions for connected automated vehicles under normal and abnormal driving scenarios.

A control apparatus includes a risk area identification unit for identifying a risk area outside a movable object with respect to a movement of the movable object based on an image captured by an image capturing apparatus mounted on the movable object, and a transmission control unit for performing control to transmit risk area information including position information of the risk area, and precision information related to a calculation precision of the position information to an outside of the movable object without designating a destination, wherein the transmission control unit transmits the position information and the precision information to cause a terminal having received the position information and the precision information to determine whether a position thereof corresponds to an inside of the risk area, and cause an alert unit included in the terminal to output an alert when it is determined that the terminal is inside the risk area.

A control apparatus includes a risk area specification unit to specify a risk area outside a movable object, a transmission control unit to perform control to transmit alert information related to a position of the risk area to an outside of the movable object, a reception control unit to perform control to receive response information including information related to a position of another movable object that is response information to the alert information which is transmitted by the other movable object, and a control unit to execute control of the movable object based on position information of the risk area and the information related to the position of the other movable object which is acquired, in which the alert information includes information for controlling a mode related to a transmission cycle of the response information to be transmitted by the other movable object which has received the alert information.

A device according to one aspect of the present disclosure is an on-vehicle control device configured to control a traveling speed of a vehicle including the on-vehicle control device. The on-vehicle control device includes: an acquisition unit configured to acquire a present light color of a traffic light unit installed at an intersection; a calculation unit configured to calculate an avoidance position and an avoidance speed with respect to a dilemma zone at a time when yellow light starts; and a control unit configured to execute a first deceleration process of reducing the traveling speed of the vehicle at the avoidance position to a speed equal to or lower than the avoidance speed, in a case where a present position of the vehicle is on an upstream side relative to the avoidance position and the present light color is green.

Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.

A system for determining safety of a road segment may include at least one processor programmed to receive, from a first vehicle, first navigation information associated with the road segment. The first navigation information may include information collected by a first sensor of the first vehicle from an environment of the first vehicle. The at least one processor may also be programmed to receive, from a second vehicle, second navigation information associated with the road segment. The second navigation information may include information collected by a second sensor of the second vehicle from an environment of the second vehicle. The at least one processor may further be programmed to determine, based on the first navigation information and the second navigation information, a score representative of the safety of the road segment, and transmit, to a third vehicle, the score representative of the safety of the road segment.