Abstract:
A system mountable in a motor vehicle. The system includes a camera and a processor configured to receive image data from the camera. The camera includes a rolling shutter configured to capture the image data during a frame period and to scan and to read the image data into multiple image frames. A near infra-red illuminator may be configured to provide a near infra-red illumination cone in the field of view of the camera. The near infra-red illumination oscillates with an illumination period. A synchronization mechanism may be configured to synchronize the illumination period to the frame period of the rolling shutter. The frame period may be selected so that the synchronization mechanism provides a spatial profile of the near infra-red illumination cone which may be substantially aligned vertically to a specific region, e.g. near the center of the image frame.
Abstract:
An imaging system for a vehicle may include a first image capture device having a first field of view and configured to acquire a first image relative to a scene associated with the vehicle, the first image being acquired as a first series of image scan lines captured using a rolling shutter. The imaging system may also include a second image capture device having a second field of view different from the first field of view and that at least partially overlaps the first field of view, the second image capture device being configured to acquire a second image relative to the scene associated with the vehicle, the second image being acquired as a second series of image scan lines captured using a rolling shutter. As a result of overlap between the first field of view and the second field of view, a first overlap portion of the first image corresponds with a second overlap portion of the second image. The first image capture device has a first scan rate associated with acquisition of the first series of image scan lines that is different from a second scan rate associated with acquisition of the second series of image scan lines, such that the first image capture device acquires the first overlap portion of the first image over a period of time during which the second overlap portion of the second image is acquired.
Abstract:
A system for autonomously navigating a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive from at least one sensor information relating to one or more aspects of the road segment. The processor may also be programmed to determine a local feature of the road segment based on the received information. Further the processor may be programmed to compare the local feature to a predetermined signature feature for the road segment. The processor may be programmed to determine a current location of the vehicle along a predetermined road model trajectory associated with the road segment based on the comparison of the received information and the predetermined signature feature. The processor may also be programmed to determine an autonomous steering action for the vehicle based on a direction of the predetermined road model trajectory at the determined location.
Abstract:
A driver assistance/control system includes a camera operatively connectable to a processor mountable in a host vehicle. A vertical deviation in road contour is detected while the host vehicle is moving. First, second and third images of the road are captured from the camera. By matching image points of the road in the first image and corresponding image points of the road in the second image, a first homography is computed which transforms the first image of the road to the second image of the road. A second homography is computed which transforms the second image of the road to the third image of the road. A chained homography is computed by chaining the first and second homographies. By using the chained homography as an initial guess, a third homography is computed which transforms the first image of the road to the third image of the road.
Abstract:
A system mounted on a vehicle for detecting an obstruction on a surface of a window of the vehicle, a primary camera is mounted inside the vehicle behind the window. The primary camera is configured to acquire images of the environment through the window. A secondary camera is focused on an external surface of the window, and operates to image the obstruction. A portion of the window, i.e. window region is subtended respectively by the field of view of the primary camera and the field of view of the secondary camera. A processor processes respective sequences of image data from both the primary camera and the secondary camera.
Abstract:
System and techniques for vehicle environment modeling with a camera are described herein. A device for modeling an environment comprises: a hardware sensor interface to obtain a sequence of unrectified images representative of a road environment, the sequence of unrectified images including a first unrectified image, a previous unrectified image, and a previous-previous unrectified image; and processing circuitry to: provide the first unrectified image, the previous unrectified image, and the previous-previous unrectified image to an artificial neural network (ANN) to produce a three-dimensional structure of a scene; determine a selected homography; and apply the selected homography to the three-dimensional structure of the scene to create a model of the road environment.
Abstract:
Various systems and methods for modeling a scene. A device for modeling a scene includes a hardware interface to obtain a time-ordered sequence of images representative of a scene, the time-ordered sequence including a plurality of images, one of the sequence of images being a current image, the scene captured by a monocular imaging system; and processing circuitry to: provide a data set to an artificial neural network (ANN) to produce a three-dimensional structure of the scene, the data set including: a portion of the sequence of images, the portion of the sequence of images including the current image; and motion of a sensor that captured the sequence of images; and model the scene using the three-dimensional structure of the scene, wherein the three-dimensional structure is determined for both moving and fixed objects in the scene.
Abstract:
Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive a plurality of images captured by an image capture device, the plurality of images being representative of an environment of the host vehicle; analyze at least one of the plurality of images to identify a target vehicle in the environment of the host vehicle; receive map information associated with an environment of the host vehicle; determine a trajectory of the target vehicle over a time period based on analysis of the plurality of images; determine, based on the determined trajectory of the target vehicle and the map information, a position of the target vehicle relative to a road in the environment of the host vehicle; and determine a navigational action for the host vehicle based on the determined position of the target vehicle.
Abstract:
A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one vehicle-induced occlusion zone in an environment of the host vehicle; and cause a navigational change for the host vehicle based, at least in part, on a size of a target vehicle that induces the identified occlusion zone.
Abstract:
Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on analysis of the images, first and second estimated positions of the target vehicle within the time period; determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.