A vehicle monitoring device includes a determination unit that determines whether a following vehicle shown in an image taken by a camera that takes an image of a surrounding area of a host vehicle is a two-wheel vehicle or not, and a warning unit that issues a warning when an inter-vehicle distance between the following vehicle and the host vehicle becomes equal to or less than a first distance in a case where the following vehicle is determined not to be a two-wheel vehicle by the determination unit, and issues a warning when the inter-vehicle distance between the following vehicle and the host vehicle becomes equal to or less than a second distance, which is longer than the first distance, in a case where the following vehicle is determined to be a two-wheel vehicle by the determination unit.

This system for detecting the surrounding conditions of a moving body forcibly changes the state of at least one of a plurality of lighting devices (change from an unlit state to a lighting state or a blinking state, change in the emission color, or change in the luminance) installed inside the moving body, if an object to which attention must be paid during traveling of the moving body is detected in the surroundings of the moving body.

A vehicle interior component includes an interior component body arranged along a vehicle body member with a face thereof exposed to a vehicle room and a display unit arranged at the interior component body to perform displaying for a passenger. The display unit includes a light source to radiate light to the interior component body from a back face side thereof, a transmissive section to perform displaying to be visible from a front face side of the interior component body by being transmissively illuminated with light from the light source as being formed by thinning a region of the interior component body, and a reinforcing member arranged on the back face side of the interior component body to reinforce the transmissive section.

Techniques and implementations pertaining to detection of moving objects, such as pedestrians, when a vehicle moves in a rearward direction are described. A method may involve identifying a region of interest when a vehicle moves in a rearward direction. The method may involve detecting a moving object in the region of interest. The method may also involve determining whether a collision with the moving object by the vehicle moving in the rearward direction is likely. The method may further involve providing a human-perceivable signal responsive to a determination that the collision is likely.

Provided is a driving support device configured to: generate a bird's-eye view image around an own vehicle from periphery images acquired from a plurality of periphery monitoring cameras, and generate a cropped bird's-eye view image by cropping an image of a cropping range including a blind spot range from the generated bird's-eye view image; generate a rear-lateral side converted image by converting a rear-lateral side direction image acquired from a rear-lateral side monitoring camera into an image in which left and right are inverted; and generate a combined image in which the generated cropped bird's-eye view image and the generated rear-lateral side converted image are arranged, and control a display device such that the generated combined image is displayed by the display device.

An alert detection system for a vehicle includes: a sensor unit; a controller; and an alert indication unit, the controller receiving at least one or more input signals from at least the sensor unit and determining one or more output indicators based on the at least one or more input signals, and the one or more output indicators including a first output indicator, a second output indicator, and a third output indicator which are Level 1 alert, Level 2 alert, and Level 3 alert, and the one or more output indicators being progressively actuated based on signal received from the at least one or more of input signals.

There is provided a method for detecting a vehicle including receiving continuously captured front images, setting a search area of the vehicle in a target image based on a location of the vehicle or a vehicle area detected from a previous image among the front images, detecting the vehicle in the search area according to a machine learning model, and tracking the vehicle in the target image by using feature points of the vehicle extracted from the previous image according to a vehicle detection result based on the machine learning model. Since the entire image is not used as a vehicle detection area, a processing speed may be increased, and a forward vehicle tracked in an augmented reality navigation may be continuously displayed without interruption, thereby providing a stable service to the user.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

A vehicular control system includes a plurality of sensors disposed at a vehicle and sensing exterior of the vehicle. An electronic control unit (ECU) includes a processor that processes sensor data captured by the sensors. The vehicular control system, responsive at least in part to processing at the ECU of captured sensor data as the vehicle travels in a traffic lane of a road, detects another vehicle that is rearward of the equipped vehicle and traveling along an adjacent traffic lane. The vehicular control system detects a leading vehicle ahead of the equipped vehicle and traveling in the same traffic lane as the equipped vehicle. The vehicular control system, responsive to determination of a space along the other traffic lane ahead of the detected other vehicle, controls the equipped vehicle to maneuver into the adjacent traffic lane to pass the detected leading vehicle ahead of the detected other vehicle.

Described herein are systems, methods, and non-transitory computer readable media for evaluating vibrational characteristics of a vehicle such as an autonomous vehicle and vibrational characteristics of a road surface in conjunction with one another to identify anomalous vehicle vibrational characteristics that may be indicative of potential damage to the structure of a vehicle. A baseline vibrational signature may be generated for a road segment based on sensor data received from multiple vehicles traversing the road segment. A vibrational signature may also be generated for a particular vehicle being evaluated based on real-time sensor data. If the vibrational signature for the vehicle deviates from the baseline vibrational signature for the road segment by more than a threshold amount, the vehicle may be deemed to be exhibiting anomalous vibrational characteristics indicative of potential vehicular damage. One or more actions in response thereto may then be taken such as automatically halting the vehicle.