Warning systems (S) and methods (M1, M2) for alerting traffic and pedestrians within a projectable area in relation to a location and path of a vehicle (100), e.g., an articulated vehicle during forward or rearward motions and turning maneuvers. Beam(s) (98) of coherent light, e.g., high-irradiance laser light, are emitted from point(s) relative to the vehicle (100), preferably from a high angle for reducing eye exposure. Laser beam(s) map a grid on the roadway and adjacent areas of the imminent path of the turning vehicle (100), by way of a set of instructions executable by a processor. The instructions involve computing, programming, and/or updating vehicle parameters, in relation to a warning device (99), e.g., a retrofittable and/or programmable device, in response to changes in vehicle-configuration or warning system (S) location, the warning system (S) being manually or automatically triggerable in response to sensors disposed in relation to the vehicle (100).

A surrounding monitoring device includes: a plurality of imaging devices attached to a vehicle in order to generate a display image corresponding to one viewpoint, in which centerlines of respective lenses of the plurality of imaging devices intersect at the viewpoint.

The invention has a purpose of providing an image-recognition device capable of appropriately performing image recognition even when a vehicle body is tilted, and a method for controlling the same. An image-recognition device 10 is mounted in the vehicle body and recognizes a surrounding situation of the vehicle body on the basis of image data that corresponds to an image of surroundings captured from the vehicle body. The image-recognition device 10 includes: a tilt-detection section 2 that detects a tilt of the vehicle body; an image-rotation section 4 that rotates the image data for correction in accordance with the tilt detected by the tilt-detection section 2; and an image-recognition section 5 that recognizes the surrounding situation of the vehicle body on the basis of corrected image data that is generated when the image-rotation section 4 rotates the image data for the correction.

A vehicular collision avoidance system includes a remote communicator disposed exterior and remote from the vehicle and operable to communicate information regarding location and motion of the remote communicator relative to the vehicle. A receiver at the vehicle receives a communication from the remote communicator, and a control at the vehicle includes a processor that processes information communicated by the remote communicator and received at the receiver. The control, responsive to processing communicated information, determines the location and motion of the remote communicator relative to the vehicle. A side sensing device is disposed at a side of the vehicle and operable to capture data, which is processed to determine approach of the remote communicator to the vehicle. Data captured by the side sensing device and information communicated by the remote communicator are processed at the control to determine a potential collision between the remote communicator and the vehicle.

A forward facing camera module is configured to, based on an image including a predetermined field of view (FOV) in front of the vehicle: determine a first distance between the vehicle and a first cyclist. A blind zone radar sensor module is configured to: determine a second distance between the vehicle and a second cyclist within a predetermined area on a side of the vehicle based on radar signals transmitted within the predetermined area. A first and second distance modules are configured to generate first and second signals when the first and second distances are decreasing, respectively. An output control module is configured to, when at least one of the first signal and the second signal is generated while a turn light for the side of the vehicle is activated, selectively generate at least one of an audible output and a visual output within a passenger compartment of the vehicle.

A vehicle lighting system includes: a lighting device that emits a first light and a second light to a periphery of an own vehicle, the second light having a higher directivity than the first light; a camera to acquire image information; a detector to emit an electromagnetic wave and acquire a reflection wave; and an electronic control unit configured to detect a physical body using the image information, detect the physical body using information of the reflection wave, control the lighting device such that the first light is emitted to the physical body detected by the reflection wave, determine whether the physical body detected using the image information in a state where the first light is being emitted is an target object, and control the lighting device such that the lighting device emits the second light toward a predetermined range around the target object.

An object detection system for a vehicle includes a camera vision module and a Lidar module. The camera vision module includes an imaging device viewing to the exterior of the vehicle and operable to capture image data representative of a scene exterior and forward of the vehicle. The Lidar module includes a Lidar device that, with the Lidar module mounted at a front exterior portion of the vehicle, scans a region forward of the vehicle that overlaps with the field of view of the imaging device. Based at least in part on processing of captured image data by an image processor and based at least in part on processing of Lidar data captured by the Lidar device, 3-dimensional and timing information relative to the vehicle of objects present exterior of the vehicle is algorithmically constructed. At least one individual object of the multiple objects is prioritized.

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.

Techniques for road scene primitive detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device having at least two parallel processing cores, at least one image from a camera associated with a vehicle on a road. The processing device generates a plurality of views from the at least one image that include a feature primitive. The feature primitive is indicative of a vehicle or other road scene entities of interest. Using each of the parallel processing cores, a set of primitives are identified from one or more of the plurality of views. The feature primitives are identified using one or more of machine learning and classic computer vision techniques. The processing device outputs, based on the plurality of views, result primitives based on the plurality of identified primitives from multiple views based on the plurality of identified entities.

A method and an apparatus for detecting a pedestrian by a vehicle during night driving are provided, in which the apparatus includes: a first camera configured to take a first image including color information of a vicinity of the vehicle during night driving; a second camera configured to take a second image including thermal distribution information of the vicinity of the vehicle; a pedestrian detector configured to detect a non-pedestrian area by using the color information from the first image and detect a pedestrian area by excluding the non-pedestrian area from the second image; and a display configured to match and display the pedestrian area on the second image.