Abstract: An automated driving system comprising a first sensor providing first sensor data, a second sensor providing second sensor data, wherein the first and second sensors are different types of sensors and a processor communicatively coupled to the first sensor and the second sensor. The processor is configured to transform the first and second sensor data into a common three-dimensional coordinate system to create a representation of an image for a field of view corresponding to a direction of travel, identify one or more objects in the field of view, and generate one or more drive control signals to control a motion of the vehicle in response to the one or more objects in the field of view.

Abstract: An automated driving system comprising a first sensor providing first sensor data, a second sensor providing second sensor data, wherein the first and second sensors are different types of sensors and a processor communicatively coupled to the first sensor and the second sensor. The processor is configured to transform the first and second sensor data into a common three-dimensional coordinate system to create a representation of an image for a field of view corresponding to a direction of travel, identify one or more objects in the field of view, and generate one or more drive control signals to control a motion of the vehicle in response to the one or more objects in the field of view.

Abstract: A method and system are provided for discriminating areas of content from areas of noise in difference images of a digital video sequence. This allows the fewest bits possible to be used to encode areas of noise according to a video compression algorithm. The method comprises computing a difference frame from current image data and a reference frame; comparing at least one component of a candidate block within the difference frame to a threshold value to discriminate between content and noise; and encoding the candidate block if content is detected.

Abstract: A method and system for encoding and recording data in a multi-stream format when the data is initially captured. The multiple streams of data can be combined to provide a high quality, or high resolution, representation, while a reduced subset of the streams can provide a lower quality, or lower resolution, representation. Data storage requirements can be reduced, by deleting one or more of the streams, when there is no longer a need for retention of the data at the higher quality.

Abstract: A system and method are provided for automatic camera health monitoring, such as for a camera in a video surveillance system. The system preferably provides substantially continuous monitoring and detection of camera malfunction, due to either external or internal conditions. Camera malfunction is detected when a computed camera health measurement exceeds a malfunction threshold. The camera health measurement is computed based on a comparison of a current camera health record to a plurality of stored camera health records obtained in a learning mode, which characterize known states of normal camera operation. Aside from monitoring camera health, methods of the present invention can also be used to detect an object being added to or removed from a scene, or to detect a change in lighting in a scene, possibly caused by a defective light fixture.

Abstract: A method and system are provided for counting moving objects in a digital video stream. In contrast to known computationally-expensive methods, areas of motion are determined by threshold subtracting a current video frame from a short term average video scene. An object box surrounding an object is determined by threshold subtracting the current video frame from a long term average video scene. Coordinates of the moving object are identified by associating the area of motion with the object box, if it overlaps the area of motion, to define a moving object box. An event counter can be incremented when the moving object box is in a buffer zone in the current frame, and was in a detection zone in an earlier frame, and was initially detected in a buffer zone on the opposite side of the detection zone.