The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

A notifying device predicts the position of a vehicle, on a road through which the vehicle is predicted to pass, after a lapse of the time taken for the driver to fall into an abnormal state. When the predicted position of the vehicle is included in a communication impossible area, the notifying device notifies, at the position of a point where an indication that the driver is going to fall into the abnormal state is detected, a call center terminal that the indication that the driver is going to fall into the abnormal state is detected from the driver.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

Embodiments of the present invention provide a control system for a vehicle, the vehicle (800) being operable in an at least partly autonomous mode and a manual mode, the control system comprising input means (291, 292) for receiving a gaze signal (211) indicative of a direction of a gaze of an occupant of the vehicle (800), and a contact signal (212) indicative of physical contact between the occupant and a control of the vehicle, control means (250, 260, 270, 280, 290) configured to determine an estimate of the occupant's attention to a driving task in the at least partly autonomous mode in dependence on the gaze signal (211) and to determine when the occupant is at least partly obscured relative to the at least one imaging means (150, 220), wherein the control means (250, 260, 270, 280, 290) is configured to determine the estimate of the occupant's attention to the driving task in dependence on the contact signal when it is determined that the occupant is at least partly obscured.

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.

A driver assist device and an adaptive warning method thereof are provided. The driver assist device includes a processor and a non-transitory storage medium containing program instructions executed by the processor. The processor detects outdoor and indoor information of a vehicle using a detector and determines a warning mode based on a traveling situation and a driver state identified through the detector when a warming-requiring situation is recognized during an operation of a driver assist function. A warning is then output based on the determined warning mode.

Aspects of the disclosure relate to models for estimating the likelihood of fatigue in test drivers. In some instances, training data including videos of the test drivers while such test drivers are tasked with monitoring driving of a vehicle operating in an autonomous driving mode may be identified. The training data also includes driver drowsiness values generated from one or more human operators observing the videos. The training inputs and outputs may be used to train the model such that when a new video of a first test driver is input into the model, the model will output an estimate of a likelihood of fatigue for that test driver.

A drive planning device has a processor configured to assess whether or not there is a problem with the driver and to assess whether or not a predetermined condition has been met based on information for the surrounding environment of a vehicle, and to create a first driving plan in which the vehicle is moved to the shoulder and stopped when it has been assessed that there is a problem with the driver and the predetermined condition has been met, or to create a second driving plan in which the vehicle is stopped in the traffic lane in which the vehicle is traveling when it has been assessed that there is a problem with the driver and the condition assessment unit has assessed that the predetermined condition has not been met.

A safety monitoring apparatus and method thereof for human-driven vehicle are provided. The safety monitoring apparatus includes a sensing unit, a processing unit, and a warning unit. The sensing unit and the warning unit are electrically connected to the processing unit, respectively. The sensing unit is arranged on a steering member of the human-driven vehicle and is used for sensing whether the steering member is in contact with a hand of a driver and generating a sensing signal accordingly. The processing unit determines whether the hand of the driver is placed on the steering member. The warning unit is used for generating a safety warning message. When the processing unit determines that the hand of the driver has not been placed on the steering member according to the sensing signal, the processing unit drives the warning unit to generate the safety warning message to warn the driver.

An apparatus for providing a safety strategy in a vehicle is provided. The apparatus includes a sensor configured to obtain information about a driver of the vehicle, an output device configured to output a notification to the driver, and a control circuit configured to be electrically connected with the sensor and the output device. The control circuit is configured to recognize a state of the driver based on the information obtained by the sensor, set a route toward a safety zone, when the state of the driver meets a specified condition, and control the vehicle to change a lane where the vehicle is traveling to a lane adjacent to the safety zone.