A device including a radar and a camera for detecting an object located in front of an automobile is mounted on the automobile. The radar detects a distance from the automobile to the front object, and the camera takes an image of the object. When the object such as a preceding vehicle moves out of a region detectable by the radar while remaining in a region covered by the camera, a present distance to the object is calculated based on the distance previously detected by the radar and memorized in a memory and a present object image taken by the camera. More particularly, the present distance is calculated by multiplying the memorized distance by a ratio of an object size in the memorized image to an object size in the present image.
There are provided an inter-vehicle distance detecting device and an inter-vehicle distance detecting method which can precisely measure an inter-vehicle distance from a user's own vehicle to a neighboring vehicle even if a radar becomes unable to detect the neighboring vehicle due to the influence of multipath or the like. If the radar does detect a neighboring vehicle, a width of the neighboring vehicle is calculated based on a precise inter-vehicle distance determined by the radar and a precise vehicle visual angle determined from an image taken by a camera, and is stored in a memory, and if the radar becomes unable to detect the neighboring vehicle, an inter-vehicle distance to the neighboring vehicle is calculated according to a trigonometric function based on the precise width of the neighboring vehicle previously stored in the memory and a precise vehicle visual angle determined from an image taken by the camera at this time.
An image capturing apparatus provided to a movable body for capturing a clear image without blurring even if it is the case where it is moving. The image capturing apparatus includes: an image capturing unit which captures an image; a speed measurement unit which measures a speed of the movable body; a displacement calculating unit which calculates a displacement of a region indicating a subject which exists in an angle-of-view of the image capturing unit in an image captured by the image capturing unit based on the speed during an exposure time of the image capturing unit; a capturing magnification rate-of-change calculating unit which calculates a rate-of-change of a capturing magnification of the image capturing unit, wherein the capturing magnification rate-of-change calculating unit compensates the displacement; a capturing magnification control unit which controls the capturing magnification in order to change it by the rate-of-change; and a capturing timing control unit which makes the image capturing unit capture an image while the capturing magnification changing by the rate-of-change.
A coaxial bi-modal imaging system is produced by aligning a microwave transceiver, an optical camera and an antenna array in a coaxial configuration. The microwave transceiver is operable to emit microwave radiation to illuminate an object and to receive reflected microwave radiation reflected from the object to capture a microwave image of the object. The antenna array includes a plurality of antenna elements, each programmable with a respective transmit direction coefficient to direct the microwave radiation emitted from said microwave transceiver toward a target on the object, and each programmable with a respective receive direction coefficient to direct the reflected microwave radiation reflected from said target towards said microwave transceiver. The optical camera is configured to capture an optical image of said object.
A system for determining range and lateral position of a vehicle is provided. The system includes a camera and a processor. The camera is configured to view a region of interest including the vehicle and generate an electrical image of the region. The processor is in electrical communication with the camera to receive the electrical image. The processor analyzes the image by identifying a series of windows within the image each window corresponds to features of the vehicle at a different target range. For example, from the perspective of the camera the vehicle will appear larger when it is closer to the camera than if it is further away from the camera. Accordingly, each window is sized proportional to the vehicle as it would appear at each target range. The processor evaluates characteristics in the electrical image within each window to identify the vehicle. A score is determined indicating the likelihood that certain characteristics of the electrical image actually correspond to the vehicle and also that the vehicle is at target range for that window.
A system for determining range and lateral position of a vehicle is provided. The system includes a camera and a processor. The camera is configured to view a region of interest including the vehicle and generate an electrical image of the region. The processor is in electrical communication with the camera to receive the electrical image. The processor analyzes the image by identifying a series of windows within the image each window corresponds to features of the vehicle at a different target range. For example, from the perspective of the camera the vehicle will appear larger when it is closer to the camera than if it is further away from the camera. Accordingly, each window is sized proportional to the vehicle as it would appear at each target range. The processor evaluates characteristics in the electrical image within each window to identify the vehicle. A score is determined indicating the likelihood that certain characteristics of the electrical image actually correspond to the vehicle and also that the vehicle is at target range for that window.
