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.

An information providing device 1 of a motorcycle includes: an image acquisition section 10 that acquires an image of a road; a lane detection section 12 that detects a lane from the image and detects a radius of curvature of the detected lane and a lateral distance from the host vehicle to the lane; a host vehicle trajectory curvature calculation section 14 that calculates a radius of curvature of a host vehicle trajectory on the basis of the radius of curvature of the lane and the lateral distance; a vehicle speed acquisition section 16 that acquires a vehicle speed of the host vehicle; an inclination angle calculation section 18 that calculates an inclination angle of the host vehicle on the basis of the radius of curvature of the host vehicle trajectory and the vehicle speed.

An example method includes detecting a potential threat to a vehicle that is external to the vehicle, determining a severity level of the potential threat and a location of the potential threat relative to the vehicle, and displaying an indication of the potential threat on an electronic display in a particular portion of the electronic display corresponding to the location and with a particular display attribute corresponding to the severity level. The particular portion is one of a plurality of different portions of the electronic display each corresponding to different threat locations, and the particular display attribute is one of a plurality of different display attributes corresponding to different severity levels. A corresponding system that detects and displays notifications of potential threats is also disclosed.

A vehicle user interface apparatus for a vehicle including a light emitting unit configured to emit light; a touch sensor configured to sense a touch; a processor configured to control the light emitting unit to emit the light in response to an event, activate the touch sensor when the light is emitted, and provide a signal to control a vehicle device corresponding to a touch input received through the activated touch sensor; and a cover covering the light emitting unit, the touch sensor, and the processor, the cover configured to transmit the light into a passenger compartment with a specific shape when the light is emitted.

A vehicular driver monitoring system includes an interior electrochromic rearview mirror assembly and a camera disposed at the interior electrochromic rearview mirror assembly behind and viewing through an electrochromic mirror reflective element into the interior cabin of the vehicle. Supplemental sources of near infrared illumination are integrated into the mirror assembly that, when powered to emit near infrared light, illuminate at least a front seating area within the interior cabin of the vehicle. Presence of the camera is not readily apparent to an occupant sitting in the interior cabin of the vehicle. The interior electrochromic rearview mirror assembly includes a processor that processes image data captured by the camera. The camera at least views a driver-side front seating area of the vehicle and, via processing at the processor of image data captured by the camera, the driver seated at the driver-side front seating area is monitored.

A vehicular object detection system includes a camera and a lidar. With the camera mounted at a windshield of a vehicle, and with the lidar mounted at an exterior portion of the vehicle, and based at least in part on processing of image data captured by the camera and lidar data captured by the lidar, a plurality of individual objects present exterior of the vehicle are detected. Based at least in part on processing of captured image data and captured lidar data, (i) respective proximity relative to the vehicle of individual objects is determined, (ii) respective speed relative to the vehicle of individual objects is determined and (iii) respective location relative to the vehicle of individual objects is determined. Based at least in part on processing of captured image data and/or processing of captured lidar data, the system determines collision potential between the vehicle and an individual object.

In a vehicular visibility support apparatus, a camera positioned on a front portion that is either the left side or the right side of a vehicle provides an image of a view laterally behind the vehicle including a part of a face of the side of the vehicle as a camera image. An input portion accepts input manipulation to generate an input signal. A control portion trims a desired region in the camera image based on the input signal and provides a trimmed image. The control portion trims the camera image based on: a vertical reference line including a part of the face on the side of the vehicle in a trimmed image before the input manipulation is accepted by the input portion, and a horizontal reference line orthogonal to the vertical reference line; and a direction of movement for change to the desired region inputted to the input portion.

An object detection apparatus receives an input of a compressed image stream, extracts, from a block included in the input compressed image stream, predetermined compression encoded information representing a feature of a compressed image, and determines, based on the extracted predetermined compression encoded information, whether or not the block is a candidate block including at least a part of the specific object. The object detection apparatus identifies, in a decoded image decoded from the compressed image stream, a candidate region of a predetermined size including the candidate block, calculates a predetermined feature amount from image data of the candidate region, and determines, based on the calculated predetermined feature amount, whether or not the candidate region includes at least a part of the specific object.

The disclosure relates generally to methods, systems, and apparatuses for automated or assisted driving and more particularly relates to identification, localization, and navigation with respect to bollard receivers. A method for detecting bollard receivers includes receiving perception data from one or more perception sensors of a vehicle. The method includes determining, based on the perception data, a location of one or more bollard receivers in relation to a body of the vehicle. The method also includes providing an indication of the location of the one or more bollard receivers to one or more of a driver and component or system that makes driving maneuver decisions.

There is provided an image processing apparatus that displays the camera captured image via the spin window on the display and the condition of the travel direction even in the bad weather can be more reliably checked. The image processing apparatus includes a camera that captures an image via the spin window, an image processor that generates a display image, and a display that displays the generated image by the image processor. The image processing apparatus further includes a pulse light output unit, and the camera includes a first camera and a second camera that capture images at timings after elapse of different times from a pulse light output timing of the pulse light output unit. The respective cameras capture images of different spaces, and the image processor generates a differential image between the images captured by the respective cameras and displays the differential image on the display.