An identification apparatus for an equipped vehicle includes a camera configured to capture image data in a field of view directed to an exterior region proximate to the equipped vehicle and a controller in communication with the camera. The controller identifies an object in the image data and identifies a proportion of the object in response to pixels representing the object in the image data. The controller then communicates a notification indicating a trailing vehicle in response to the object approaching the camera in excess of a threshold.

The disclosure provides, inter alia, a method that includes obtaining transport information for a transport order, wherein the transport information represents at least one destination position. The method includes obtaining transport convoy information, wherein the transport convoy information represents at least one identifier of a transport convoy, and wherein a planned route of the transport convoy and a transport route between the current position of the transport vehicle and the destination position associated with the transport order comprise a common route section. The method also includes capturing and/or causing the capture of a first surroundings parameter, detecting the transport convoy at least in part based on the captured first surroundings parameter and the obtained transport convoy information, and if the transport convoy is detected, following the transport convoy in the transport vehicle and/or causing the transport vehicle to follow the transport convoy.

A method for supporting a user of a first vehicle to follow a second vehicle includes obtaining a picture, by a camera, of at least a part of a surrounding of the first vehicle, detecting vehicles in the obtained picture, displaying a representation of the detected vehicles on a user interface to the user, obtaining input from the user from the user interface of which of the detected vehicles that is the second vehicle and that the user would like to follow, obtaining, via the camera, at least one identification data of the second vehicle, tracking the position of the second vehicle, and transmitting the position of the second vehicle to a navigation system of the first vehicle.

A support device is a support device by which a support operation to support a host vehicle to stop is performable. The support device includes: a determination unit configured to, when a light color of a traffic light is a light color that requires the host vehicle to stop, determine whether or not alerting on the traffic light is performed as the support operation, based on a speed of the host vehicle and a distance from a current position of the host vehicle to a stop reference position; and a recognition unit configured to recognize a surrounding state around the host vehicle. The stop reference position in a case where a crossing pedestrian is recognized by the recognition unit is closer to the host vehicle than the stop reference position in a case where no pedestrian is recognized by the recognition unit.

To shorten a time required to predict collision with other vehicles, a collision prediction device includes: a detection unit configured to detect each of a front, a rear, and a side of other vehicles located around a vehicle from a captured image of one frame in which surroundings of the vehicle are imaged; and a determination unit configured to determine a likelihood of collision with the other vehicles based on a detection result of the detection unit. The determination unit determines that the likelihood of collision with the other vehicle of which only the front or only the rear is detected is high in the other vehicles of which one or more of the front, the rear, and the side are detected by the detection unit.

Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

A method is disclosed for detecting a hazardous situation in road traffic, wherein visible surroundings of a motor vehicle are scanned by way of at least one surroundings monitoring sensor for the presence of a trigger. Upon detection of the trigger, data regarding the surroundings of the motor vehicle is collected by the at least one surroundings monitoring sensor in a trigger-specific radius around the trigger. Pieces of information based on the collected data are transmitted via a communication device to at least one receiver that is independent of the motor vehicle.

A control method for a self-driving vehicle provided with an engine as a driving source, comprising: determining whether or not coast stop is executed in accordance with required driving force of the vehicle, the coast stop being for automatically stopping the engine during the vehicle traveling at speed not more than predetermined vehicle speed; setting the required driving force so that an intervehicular distance between the host vehicle and a preceding vehicle becomes closer to a predetermined distance under presence of the preceding vehicle in front of the host vehicle; predicting a behavior of the preceding vehicle from a situation in front of the preceding vehicle under presence of the preceding vehicle; and prohibiting release of the coast stop for the engine during an automatic stop when future deceleration of the preceding vehicle is predicted in response to an expansion of the intervehicular distance.

Herein is disclosed a detection device comprising one or more sensors, configured to receive sensor input from a vicinity of a first vehicle, and to generate sensor data representing the received sensor input; one or more processors, configured to detect a second vehicle from the received sensor data; determine from the sensor data a region of a first type relative to the second vehicle and a region of a second type relative to the second vehicle; and control the first vehicle to avoid or reduce travel in the one or more regions of the first type or to travel from a region of the first type to a region of the second type.

Systems, methods, and non-transitory computer readable media may be configured to calibrate sensor measurements based on detection of brake light. Acceleration information of a first vehicle may be obtained. The acceleration information may define an acceleration probability distribution of the first vehicle. Image information may be obtained. The image information may define an image of the first vehicle. Whether a brake light of the first vehicle is on or off may be determined based on the image of the first vehicle. Based on a determination that the brake light of the first vehicle is on, a calibrated acceleration probability distribution of the first vehicle may be generated based on the acceleration probability distribution of the first vehicle and a braking-calibration curve.