Systems and methods for improving vehicular safety are disclosed. According to embodiments, an electronic device may collect or accumulate various sensor data associated with operation of a vehicle by an individual, including image data, telematics data, and/or data indicative of a condition of the individual. The electronic device may analyze the sensor data to determine whether the individual is distracted and whether the vehicle is approaching a location that may be prone to incidents. The electronic device may accordingly generate and present a notification to the individual to mitigate any posed risks.

A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

A system including an input group that, when executed by a processing unit, obtains contextual input data for use in determining a contextual mode, wherein the contextual input is based on at least one type of context. Example contexts include an environmental context; a user state; a user driving destination; a profile of the user; and a profile of another user. The system also includes a deliberation group that, when executed by the processing unit, determines, based on the contextual input data, a contextual mode for use in controlling a vehicle function. The system also includes an output group that, when executed by the hardware-based processing unit, initiates implementation, at a vehicle of transportation, of the contextual mode determined to control the vehicle function.

To achieve an accurate transfer of control from a system to a driver, a semiconductor device includes: a recognition unit that recognizes an object present in the periphery of a vehicle based on a result of observation of the periphery of the vehicle; a route calculation unit that calculates, based on the recognized object, a travel route for the vehicle in an automatic control mode for automatically controlling the vehicle; and a mode control unit that transfers the vehicle from the automatic control mode to a manual control mode for controlling the vehicle according to an operation by a driver, when a travel route to avoid the recognized object cannot be calculated.

An on-vehicle situation detection apparatus may include a detection unit to identify a driver and acquire driver status data and data about vehicle driving information or vehicle surrounding obstacles, a driving pattern learning unit to learn and store a driving pattern of a driver, based on the data acquired by the detection unit, a weighted value determination unit to determine a weighted value assigned to the information data acquired by the detection unit, based on the driving pattern learned by the driving pattern learning unit, a determination unit to determine a safe driving state of the driver, based on the data to which the weighted value determined by the weighted value determination unit is assigned, and a warning unit to warn the driver when the driver is determined to be not in the safe driving state.

Embodiments describe a system configured with a brain machine interface (BMI) system implemented in a vehicle for performing vehicle functions using electrical impulses from motor cortex activity in a user's brain. The system uses fuzzy states for increased robustness. The fuzzy states are defined by sets of Gaussian kernel-type membership functions that are defined for steering and velocity action function states. The membership functions define fuzzy states that provide overlapping control tiers for increasing and decreasing vehicle functionality. An autonomous vehicle may perform control and governance of transitions between membership functions that may overlap, resulting in smooth transitioning between the states.

An information processing apparatus acquires first information on a behavior of a first vehicle associated with each operation performed by a first driver on the first vehicle and second information on a change in emotion of a user who shares the first vehicle, extracts information on a change in the user's emotion associated with each behavior of the first vehicle by associating the first information with the second information, determines a user's evaluation of the first driver's driving based on information on the change in the user's emotion associated with each behavior of the first vehicle, and stores the determined evaluation in a storage unit.

A vehicle includes a camera configured to capture an image of the interior of a vehicle, an output apparatus configured to output an image and a sound, a scent output apparatus configured to output a scent, and a control apparatus. The control apparatus is configured to determine whether only a pet or only an infant is on board the vehicle based on an image captured by the camera, and upon determining that only a pet or only an infant is on board the vehicle, execute an anxiety reduction action to output an image, a sound, and/or a scent.

A control apparatus includes a controller configured to, upon determining, based on behavior classification, that a behavior of a passenger detected from a captured image or a sound of inside of a vehicle is threatening, transmit a first instruction to increase tension of a seat belt worn by the passenger.

A driver assessment system includes at least one vehicle sensor on a vehicle gathering vehicle dynamics information. At least one occupant sensor gathers driver information. The at least one occupant sensor may be a wearable device or subdermal device on the driver. At least one computer receives the vehicle dynamics information and the driver information to determine a driver readiness.