The invention relates to a method for assisting a driver of a motor vehicle (1) in maneuvering the motor vehicle (1) with a trailer (3), wherein image data is captured from an environmental region (12) of the motor vehicle (1) by means of at least one vehicle-side camera (5) and by means of at least one trailer-side camera (10) and an image (B) of the environmental region (12) is created for displaying on a vehicle-side display device (14) depending on the captured image data, wherein a perspective (P1, P2), from which the environmental region (12) is displayed in the image (B), is determined depending on a pivot angle (17) between the trailer (3) and the motor vehicle (1). The invention additionally relates to a driver assistance system (2) as well as to a vehicle/trailer combination with a motor vehicle (1), a trailer (3) and a driver assistance system (2).

A method of operating a display device for a motor vehicle having a plurality of display areas includes providing a plurality of non-contact input operations where a first non-contact input operation of a user is detected and verified by a second non-contact input operation of the user in order to select at least one display element on a first display area, and at least one third non-contact input operation of the user is detected.

A system operating in a vehicle includes a lidar module, a camera, and a controller communicatively coupled to the camera and the lidar module. The lidar module includes: a light source configured to emit pulses of light, a scanner configured to direct the emitted pulses of light in accordance with a scan pattern to illuminate a field of regard of the lidar module, and a receiver configured to detect the emitted pulses of light scattered by one or more remote objects to capture a set of lidar pixels of a scan frame, in a sequence defined by the scan pattern. The camera has a field of view that at least partially overlaps the field of regard of the lidar module. The controller is configured to cause the camera to capture multiple images while the receiver of the lidar module captures the set of lidar pixels of the scan frame.

The present disclosure relates to a device for controlling a vehicle at an intersection. The device variably sets a region of interest of a vehicle sensor in accordance with a relationship between the progress paths of a subject vehicle and a target vehicle at an intersection, or controls the subject vehicle according to a collision avoidance control method in comparison with a predetermined scenario of a collision possibility of the subject vehicle and the target vehicle at the intersection according to a scenario, thereby preventing a collision at the intersection.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (VOC), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.

A device for controlling a vehicle at an intersection. The device variably sets a monitoring range of a vehicle sensor in accordance with a relationship between the progress paths of a host vehicle and a target vehicle at an intersection, or controls the host vehicle according to a collision avoidance control method in comparison with a predetermined scenario of a collision possibility of the host vehicle and the target vehicle at the intersection according to a scenario, thereby making it possible to prevent a collision at the intersection.

A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.

The sensors on a vehicle can have difficulties identifying surrounding objects in the environment. Markers with predetermined properties that match with reading capabilities of the on-vehicle sensors would provide information about the surrounding environment. In particular, adjacent vehicles may have markers with predetermined properties that match with reading capabilities of the vehicle sensors. The sensors would obtain information about the surrounding vehicles on the road, which could be used to provide context for decision making of the advanced driver assistance system.

One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (VOC), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.