Systems, methods, tangible non-transitory computer-readable media, and devices associated with the operation of a vehicle are provided. For example, a receptacle system can determine states of a receptacle of a vehicle. Further, the states of the receptacle can be associated with accommodation of objects by the receptacle. The receptacle system can receive object data that includes information associated with accommodation of the objects by the receptacle. The receptacle system can also determine operations associated with the receptacle based at least in part on the object data and the states of the receptacle. Furthermore, the receptacle system can generate control signals to perform the operations associated with the receptacle which can include transporting objects in the receptacle, charging objects in the receptacle, extending the receptacle, or retracting the receptacle.

The present application relates to a method and apparatus for generating a graphical user interface indicative of a vehicle underbody view including a LIDAR operative to generate a depth map of an off-road surface, a camera for capturing an image of the off-road surface, a chassis sensor operative to detect an orientation of a host vehicle, a processor operative to generate an augmented image in response to the depth map, the image and the orientation, wherein the augmented image depicts an underbody view of the host vehicle and a graphic representative of a host vehicle suspension system, and a display operative to display the augmented image to a host vehicle operator. A static and dynamic model of the vehicle underbody is compared vs the 3-D terrain model to identify contact points between the underbody and terrain are highlighted.

The present disclosure relates to an image processing device, an image processing method, a program, and an image presentation system capable of presenting a more suitable image to the interior of a vehicle.

An image processing unit generates a presentation image to be presented to the interior of a second vehicle that is traveling, on the basis of a vehicle external image obtained by capturing an environment outside a first vehicle that is traveling. The present disclosure can be applied to, for example, a projector type presentation device.

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 vehicle hatch clearance determining system includes a plurality of cameras disposed at the vehicle and a control having a processor for processing image data captured by the cameras. During a parking event, and responsive to processing of captured image data, the system detects objects, gathers information pertaining to detected objects exterior the vehicle and generates an environmental model based at least in part on the gathered information. With the vehicle parked, the system determines location of the vehicle relative to at least one detected object of the environmental model and determines if the model includes an object in a region that would be swept by a hatch of the parked vehicle when the hatch is being opened or closed. Responsive to determination that the object is in the region that would be swept by the hatch, the system stops movement of the hatch to avoid impact with the object.

A display system provided in a vehicle includes: a road surface drawing device configured to emit a light pattern toward a road surface outside the vehicle; and a display control unit configured to control the road surface drawing device. The display control unit stops emission of the light pattern in response to detection of a light pattern emitted from a vehicle.

A system and method for collision warning. The method includes calculating a dynamic trajectory of a vehicle, the vehicle including at least one camera for capturing visual multimedia content, wherein the dynamic trajectory indicates a projected movement path of the vehicle, wherein the dynamic trajectory is calculated based on a respective stopping distance and a radius of movement determined for the vehicle; generating an overlay based on the at least one dynamic trajectory, wherein the overlay indicates at least one risk, wherein each of the at least one risk is located within the at least one dynamic trajectory; and applying the overlay to the visual multimedia content.

Disclosed are techniques for determining a motion state of a target object. In an aspect, an on-board computer of an ego vehicle detects the target object in one or more images, determines one or more first attributes of the target object based on measurements of the one or more images, determines one or more second attributes of the target object based on measurements of a map of a roadway on which the target object is travelling, and determines the motion state of the target object based on the one or more first attributes and the one or more second attributes of the target object.

A system and method for performing visual odometry is disclosed. In aspects, the system implements methods to generate an image pyramid based on an input image received. A refined pose prior information representing a location and orientation of the autonomous vehicle can be generated based on one or more images of the image pyramid. One or more seed points can be selected from the one or more images of the image pyramid. One or more refined seed representing the one or more seed points with added depth values can be generated. One or more scene points can be generated based on the one or more refined seed points. A point cloud can be generated based on the one or more scene points.

A driving assistance apparatus is provided in which the detection range of a left-front-corner sonar (12a) located at the vehicle's left front corner is included in the field of view of a second imaging means (14) located at the vehicle's left front corner. When the left-front-corner sonar (12a) detects a three-dimensional object at the vehicle's left front corner, an image processing means (3) synthesizes an image of the image created using a second imaging means (14) and the images created with four cameras (7a-7d) for imaging the complete periphery of the vehicle, and creates a bird's-eye-view image (40b). The detection range of the left-front-corner sonar (12a) is included within a region of the bird's-eye image (40b) on the basis of the image created with the second imaging means (14).