A method for automatic generation of calibration parameters for a surround view (SV) camera system is provided that includes capturing a video stream from each camera comprised in the SV camera system, wherein each video stream captures two calibration charts in a field of view of the camera generating the video stream; displaying the video streams in a calibration screen on a display device coupled to the SV camera system, wherein a bounding box is overlaid on each calibration chart, detecting feature points of the calibration charts, displaying the video streams in the calibration screen with the bounding box overlaid on each calibration chart and detected features points overlaid on respective calibration charts, computing calibration parameters based on the feature points and platform dependent parameters comprising data regarding size and placement of the calibration charts, and storing the calibration parameters in the SV camera system.

The invention provides an autonomous vehicle with a video camera that merges images taken a different light levels by replacing saturated parts of an image with corresponding parts of a lower-light image to stream a video with a dynamic range that extends to include very low-light and very intensely lit parts of a scene. The high dynamic range (HDR) camera streams the HDR video to a HDR system in real timeas the vehicle operates. As pixel values are provided by the camera's image sensors, those values are streamed directly through a pipeline processing operation and on to the HDR system without any requirement to wait and collect entire images, or frames, before using the video information.

An optical imaging system leveraging an ultra-thin flat metalens to increase system functionality with a reduced set of imaging sensors. The optical imaging system is particularly adept at reconfiguring to and camouflaging within its external environmental.

An apparatus for providing an around view comprises: first and second cameras for acquiring first and second image information; and a processor. The processor can generate an around view image including a first area including a subject overlapping area and a second area excluding the subject overlapping area, on the basis of first and second images. The subject overlapping area is disposed between first and second boundary lines in the first and second images. The first boundary line is located in the first area, and the second boundary line adjoins the second area. If it is predicted that a first object will pass through the second boundary line due to the first object approaching within a predetermined distance thereto, the processor can generate an around view image in which the second area is changed so that the second area includes the subject overlapping area.

A surround view system for a machine is provided. The surround view system includes a plurality of image capturing devices generating image data of surroundings of the machine, and an object detection system for detecting an object in a target field of view of the machine and generating object position data corresponding to the object. The surround view system also includes an image processing system configured to generate an initial 3-dimensional composite surround view by projecting the image data on a virtual model corresponding to the machine. The virtual model has a 3-dimensional shape based on an initial calibration position data. The image processing system is also configured to modify the 3-dimensional shape of the virtual model based on the object position data, and generate an updated 3-dimensional composite surround view by projecting the image data on the virtual model having a modified 3-dimensional shape.

An articulatable mount for temporarily affixing a camera and illumination system to a vehicle is disclosed. The articulating drive mechanism is lightweight, vertically compact, and ruggedized for severe service such as withstanding shocks from off-road travel and abrupt maneuvering. Articulation and illumination may be controlled remotely over Wi-Fi from inside or nearby the vehicle, and encrypted video feeds may be received by authorized users of an ad-hoc network of available smart-phone users and in-vehicle computer systems authorized and authenticated to participate in the network.

Apparatuses, systems and methods monitor vehicular activity. Specifically, the apparatus, systems and methods of the present invention provide a plurality of sensors and devices for monitoring a vehicle while the vehicle is in use, including but not limited to, impact sensors, cameras, recording devices, and other like devices. The devices create data streams that are processed and/or recorded for reference to the same upon inquiry, such as after a vehicle accident or for any other purpose.

Methods and systems are provided for a dual function imaging device. In one example, a method may comprise imaging exhaust gas outside of a reverse engine condition via the imaging device. The imaging device may image a surrounding area during the reverse engine condition.

A surroundings monitoring apparatus includes a judgement portion configured to judge an object in a judgement area set in surroundings of a mobile body provided with plural imaging portions. In an overlap area in which imaging areas of the imaging portions overlap each other, a generation portion is configured to set a range of a use area in which captured image is used, and the generation portion is configured to generate surrounding image including the captured image used in the use area, wherein the generation portion changes the range of the use area and generates the surrounding image in accordance with the object.

An apparatus configured to provide a view around a vehicle includes a display unit; at least one omnidirectional camera module attached to the vehicle and configured to acquire images of surroundings of the vehicle; an interface unit configured to receive steering angle information and vehicle tilt information; and a processor. The processor is configured to generate an omnidirectional image based on the images of the surroundings of the vehicle acquired by the at least one omnidirectional camera module; determine a region in the omnidirectional image that corresponds to the steering angle information or the vehicle tilt information; and control the display unit to display an image of the region in the omnidirectional image that corresponds to the steering angle information or the vehicle tilt information.