A movable carrier auxiliary system includes a state detecting device, a braking device, an environmental detecting device and an emergency brake controlling device. The state detecting device detects a movement state of a movable carrier. The environmental detecting device includes at least one image capturing module and an operation module. The brake controlling method thereof includes receive the movement state detected by the state detecting device, and deriving an operating distance based on the movement state with the operation module; capture the environmental image with the image capturing module; determine whether there is an obstruction within the operating distance based on the environmental image; automatically actuate the braking device with the emergency brake controlling device when there is the obstruction within the operating distance in the environmental image, thereby to stop the movable carrier within the operating distance.

Methods, apparatuses, and computer-readable media are disclosed for providing a mixed-reality scene. In response to a pedestrian detection event at a first vehicle, a sequence of mixed-reality images is presented to a driver of a second vehicle. At least one image in the sequence of mixed-reality images results from merging (a) an image captured by a camera aboard the first vehicle and (b) an image captured by a camera aboard the second vehicle. The merging may comprise de-emphasizing an occluded portion of the image captured by the camera aboard the second vehicle and emphasizing an unoccluded portion of the image captured by the camera aboard the first vehicle. The unoccluded portion of the image captured by the camera aboard the first vehicle may provide, in the merged image, visibility of a pedestrian at least partially blocked from a view of the driver of the second vehicle.

Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.

There is provided a vehicle control apparatus that controls automated driving of a vehicle. The apparatus includes an extraction unit configured to extract an object existing around the vehicle from a scene image representing a peripheral status of the vehicle, and a control unit configured to calculate a moving locus of the object and a moving locus of the vehicle for a predetermined time from time when the scene image is acquired, and generate a moving locus by correcting the moving locus of the object based on the moving locus of the vehicle.

Systems and methods to identify an attention region in sensor-based detection involve obtaining a detection result that indicates one or more detection areas where one or more objects of interest are detected. The detection result is based on using a first detection algorithm. The method includes obtaining a reference detection result that indicates one or more reference detection areas where one or more objects of interest are detected. The reference detection result is based on using a second detection algorithm. The method also includes identifying the attention region as one of the one or more reference detection areas without a corresponding one or more detection areas. The first detection algorithm is used to perform detection in the attention region.

An information processing apparatus capable of assisting safe driving of a vehicle at a place such as an intersection where the view from the vehicle is obstructed or restricted is provided. On the basis of image information representing an image captured by an image capturing apparatus mounted in a vehicle, a detection processing unit detects a traffic mirror in the image and an object in the traffic mirror. And a calculating unit calculates a position of the object in the detected traffic mirror. Driving assist information is generated on the basis of the calculated position of the object in the traffic mirror, and the generated driving assist information is output.

An apparatus for preventing a pedestrian collision accident, a system having the same, and a method thereof are provided. The apparatus includes a pedestrian sensing unit that senses a pedestrian moving into a dangerous area and calculates velocity and direction information of the pedestrian. A communication unit transmits the velocity and direction information of the pedestrian to a surrounding vehicle. A time-to-collision (TTC) calculating unit calculates a TTC using velocity and direction information of a subject vehicle and second velocity and direction information of the pedestrian, when the TTC calculating unit receives the second velocity and direction information of the pedestrian from another vehicle. A controller outputs based on the TTC a warning to a driver of the subject vehicle or the pedestrian.

A method for signaling a driving intention of an autonomous vehicle is provided. The method includes steps of: a driving intention signaling device (a) detecting a pedestrian ahead of the autonomous vehicle using surroundings video images, and determining whether the pedestrian crosses a roadway using a virtual crosswalk; (b) if the pedestrian crosses the roadway, estimating a crosswalking trajectory, corresponding to an expected path of the pedestrian, by referring to a moving trajectory of the pedestrian, setting a driving plan of the autonomous vehicle referring to driving information and the crosswalking trajectory, and allowing the autonomous vehicle to self-drive by the driving plan; and (c) determining whether the pedestrian pays attention to the autonomous vehicle by referring to gaze patterns and, if not, allowing delivery of the driving intention to the pedestrian and/or a nearby driver, via an external display and/or an external speaker.

An image processing apparatus for a vehicle can include: a camera configured to capture an image around the vehicle; a driving device adjusting an image capturing direction of the camera; a location recognition device detecting a location of the vehicle; a pedestrian recognition device detecting a pedestrian around the vehicle; and a processor controlling the driving device so as to adjust the image capturing direction of the camera based on information detected by at least one of the location recognition device and the pedestrian recognition device.

A thermal image processing device includes a thermal image acquiring unit configured to acquire a thermal image detected by an infrared detector provided in a vehicle, an object detecting unit configured to detect an object from the thermal image, a positional relationship calculating unit configured to calculate a positional relationship between the detected object and the vehicle and to calculate a change in the positional relationship, and a determining unit configured to determine whether to calibrate the infrared detector on the basis of the change in the calculated positional relationship.