A method for assisting a vision of a driver includes: receiving a signal indicating that weather information is emergency weather information from a navigation device according to setting by a vehicle driver, and turning on a vision assisting device included in the vehicle in response to the signal; obtaining an image of an infrared thermal camera of the vision assisting device, which photographs a front of the vehicle when the vehicle travels, and obtaining an image of a camera of the vision assisting device, which photographs the front of the vehicle when the vehicle travels; controlling an image processor of the vision assisting device to determine whether a matching rate between image data of the infrared thermal camera and image data of the camera is equal to or less than a first threshold; and, when the matching rate is equal to or less than the first threshold, using distances between the vehicle and respective objects located at the front, a rear, and sides of the traveling vehicle, speeds of the respective objects, which are detected by a radar sensor of the vision assisting device, and the images of the infrared thermal camera photographing the front of the vehicle to generate a surrounding state image of the vehicle, which includes the distances and the speeds.

Proposed is a detachable traveling guidance system including a frame detachably mounted on a roof of a vehicle, a monitoring module including a sensor array configured to monitor a vicinity of the vehicle and a communicator, the monitoring module being mounted on the frame, and the frame being configured to adjust a position of the monitoring module, and a display mounted on a lower portion of the frame and positioned to cover a side surface or a rear surface of the vehicle, necessary information being output on the display device for viewing from the outside.

Proposed is a detachable traveling guidance system including a frame detachably mounted on a roof of a vehicle, a monitoring module including a sensor array configured to monitor a vicinity of the vehicle and a communicator, the monitoring module being mounted on the frame, and the frame being configured to adjust a position of the monitoring module, and a display mounted on a lower portion of the frame and positioned to cover a side surface or a rear surface of the vehicle, necessary information being output on the display device for viewing from the outside.

Aspects and implementations of the present disclosure relate to performance and safety improvements for autonomous trucking systems, including techniques of obtaining an identification of an unfavorable condition on a route of an autonomous vehicle (AV), causing the AV to exit the route, and performing one or more waiting loops until the unfavorable condition is resolved, the AV is rerouted, assistance arrives, and the like.

The present disclosure provides methods and apparatuses of a highly sensitive and reliable IoT location tracking device in a form factor of a vehicle taillight. The tracking device replaces the existing taillight and comprises custom-designed GPS and Cellular antennae that are specially integrated with a novel dual-PCBA structure and an anti-theft tactile switch detection mechanism. The purposes of the new methods and apparatuses are to achieve the following: (1) improved reliability of signal reception and transmission with taillight integration; (2) improved electronic shielding of the processor board and PCB (printed circuit board) assembly; (3) high sensitivity of the new GPS and cellular antennae geometry and dimension design; (4) novel anti-theft security and better vehicle tracking management.

A saddle-riding type vehicle includes: a front object recognition unit (54) which recognizes an object in front of a host vehicle (M); a side object recognition unit (54) which recognizes an object at the rear side of the host vehicle (M); a display unit (42) which notifies a driver of the existence of an object in the periphery of the host vehicle (M); and a notification control unit (160) which determines the existence of an object in front of the host vehicle (M) and the existence of an object at the rear side of the host vehicle (M) on the basis of the recognition result of the front object recognition unit (54) and the side object recognition unit (54) and controls the display unit (42). The notification control unit (160) controls, when it is determined that there is an object at the rear side of the host vehicle (M), the display unit (42) to display a first notification (A1) and controls, when it is determined that there are an object at the rear side of the host vehicle (M) and there is an object in front of the host vehicle (M), the display unit (42) to display a second notification (A2) different from the first notification (A1).

The warning device (12) includes a warning light mechanism (16), that is configured so as to emit a flashing strobe light (20) that flashes at a frequency that is higher than 10 Hz.

A hitch cross path alert system for a vehicle is presented. A first sensor may detect whether a hitch is connected to a hitch receiver connected to the vehicle. A second sensor may identify a pedestrian in proximity to the vehicle. A processor may be configured to predict a path of the pedestrian based on data captured by the second sensor and to cause the vehicle to output an audio or visual warning to the pedestrian.

The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.

The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.