A method includes determining the position of the motor vehicle, identifying at least one object not relevant to road traffic as an object in the landscape in the surroundings of the motor vehicle, depending on the determined position, detecting at least the direction of view of a passenger as an occupant of the motor vehicle, and providing a display with information about the at least one object in the landscape viewed by the passenger, such that said information is provided in the direct field of view of the passenger, as defined by the direction of view of the same, in the same place as the object.

A vehicle driving assistance device includes: a sensing unit configured to capture a front image of a running vehicle; a processor configured to detect a lane by using the front image and estimate the lane by detecting objects around a road, on which the vehicle is running, by using the sensing unit; and an output unit configured to output the estimated lane.

A collision avoidance and/or pedestrian detection system for a large passenger vehicle such as commuter bus, which includes one or more exterior and/or interior sensing devices positioned strategically around the exterior and interior of the vehicle for recording data, method for avoiding collisions and/or detecting pedestrians, and features/articles of manufacture for improving same, is described herein in various embodiments. The sensing devices may be responsive to one or more situational sensors, and may be connected to one or more interior and/or exterior warning systems configured to alert a driver inside the vehicle and/or a pedestrian outside the vehicle that a collision may be possible and/or imminent based on a path of the vehicle and/or a position of the pedestrian as detected by one or more sensing devices and/or situational sensors.

An enhanced visibility system for a work machine includes an image capture device, a sensor, one or more control circuits, and a display. The image capture device is configured to obtain image data of an area surrounding the work machine. The sensor is configured to obtain data regarding physical properties of the area surrounding the work machine. The control circuits are configured to receive the image data and the data regarding the physical properties, and augment the image data with the data regarding the physical properties to generate augmented image data. The display is configured to display the augmented image data to provide an enhanced view of the area surrounding the work machine.

This disclosure describes systems and methods used in the development and validation of autonomous vehicles ability to track objects with sensors. This application describes a self-propelled autonomous platform and methods for carrying a pedestrian, cyclist or vehicular type target in a predetermined pattern during one or more testing runs. The self-propelled autonomous platform includes a sensor configured to retract within a platform housing of the self-propelled autonomous platform when being driven over during a test run.

A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing by an image processor of image data captured by the camera. Responsive at least in part to processing of captured image data, a traffic lane of the road along which the vehicle is traveling is determined. Upon approach of the vehicle to a curve in the road, speed of the vehicle is reduced to a reduced speed for traveling around the curve in the road at least in part responsive to at least one selected from the group consisting of (a) processing of image data captured by the forward viewing camera and (b) data relevant to a current geographical location of the equipped vehicle.

A processor for a vehicle camera system, the processor arranged to: receive image data captured by a camera, the image data providing a field of view surrounding a host vehicle; determine the presence of an obstruction in the field of view; receive inputs from one or more other sensors; determine the presence or absence of obstructions in a field of view of the one or more other sensors, wherein each determined presence or absence carries an associated confidence score and wherein each confidence score contributes to a confidence total; and control a display to display the image data based on the detection of the obstruction in the field of view provided by the image data and based on a comparison of the confidence total to a confidence threshold.

An interactive vehicle safety system having capabilities to improve peripheral vision, provide warning, and improve reaction time for operators of vehicles. For example, the interactive vehicle safety system may have capabilities for portraying objects, which are being blocked by any of the structural pillars and/or mirrors of a vehicle (such as a truck, van, train, etc.). The interactive vehicle safety system disclosed may comprise one or more image capturing devices (such as camera, sensor, laser), distance and object sensors (such as ultrasonic sensor, LIDAR radar sensor, photoelectric sensor, and infrared sensor), a real-time image processing of an object, and one or more display systems (such as LCD or LED displays). The interactive vehicle safety system may give a seamless 360-degree front panoramic view to a driver.

A system and method for providing adaptive trust calibration in driving automation that include receiving image data of a vehicle and vehicle automation data associated with automated of driving of the vehicle. The system and method also include analyzing the image data and vehicle automation data and determining an eye gaze direction of a driver of the vehicle and a driver reliance upon automation of the vehicle and processing a Markov decision process model based on the eye gaze direction and the driver reliance to model effects of human trust and workload on observable variables to determine a control policy to provide an optimal level of automation transparency. The system and method further include controlling autonomous transparency of at least one driving function of the vehicle based on the control policy.

The present disclosure relates to an information processing apparatus, an information processing method, and a program that make it possible to reduce an amount of communication data that flows through an in-vehicle network and is necessary for automated driving.

An image sensor captures an image of the surroundings of an own automobile; and a recognition section performs object recognition processing of recognizing an object in the captured image, and outputs, to an automated driving controller, an object recognition processing result obtained by the object recognition processing. Further, speed information and distance information are associated with the object recognition processing result to be output as metadata, the speed information being information regarding a speed of an object in the surroundings of the own automobile and being obtained by a millimeter-wave radar, the distance information being information regarding a distance to the object in the surroundings of the own automobile and being obtained by LiDAR. The present disclosure is applicable to an in-vehicle system.