A control device is used in a subject vehicle capable of performing autonomous driving with no obligation for a driver to monitor periphery. The control device determines whether a permission state, in which a specific act other than driving is permitted to the driver, is continued or not when approach of an emergency vehicle to the subject vehicle is detected during an autonomous cruising period in which the autonomous driving is being performed. The control device restricts display of a content provided to the driver when the permission state of the specific act is determined to be not continued.

An electronic control device provided in a vehicle that mounts an in-vehicle system is provided. The electronic control device may detect an abnormality that occurs in the in-vehicle system. The electronic control device may detect an operation related to a lane change. The electronic control device may store a travel plan for performing an autonomous driving of the vehicle. The electronic control device may acquire at least one of a subject vehicle information item on the vehicle, a surrounding information item on a surrounding environment of the vehicle, and a driver information item on a driver.

Techniques for cognitive analysis for directed control transfer with autonomous vehicles are described. In-vehicle sensors are used to collect cognitive state data for an individual within a vehicle which has an autonomous mode of operation. The cognitive state data includes infrared, facial, audio, or biosensor data. One or more processors analyze the cognitive state data collected from the individual to produce cognitive state information. The cognitive state information includes a subset or summary of cognitive state data, or an analysis of the cognitive state data. The individual is scored based on the cognitive state information to produce a cognitive scoring metric. A state of operation is determined for the vehicle. A condition of the individual is evaluated based on the cognitive scoring metric. Control is transferred between the vehicle and the individual based on the state of operation of the vehicle and the condition of the individual.

Systems and methods are disclosed for determining a distraction level of a driver. A real-time driver analysis computer may receive sensor data from one or more driver analysis sensors. The real-time driver analysis computer may analyze the sensor data to determine a distraction level of a driver. Based on the distraction level, the real-time driver analysis computer may send one or more control signal to the vehicle and output one or more alerts to a mobile device associated with the driver.

Disclosed are an apparatus for controlling a stop of a vehicle and a method thereof. In order to prevent a collision accident occurring by a second rear vehicle in an emergency stop of the vehicle in advance, the apparatus includes a vehicle sensor that detects various types of information on a target vehicle, a rear sensor that detects a first rear vehicle and a second rear vehicle driving behind the target vehicle, and a controller that is electrically connected to the vehicle sensor and the rear sensor to control an emergency stop of the target vehicle in consideration of a state of a field of view of the second rear vehicle with respect to the target vehicle when the target vehicle is stopped in emergency.

Included are: a timing determining unit for determining timing for preparing for transfer of driving authority to a driver on the basis of current position information of the vehicle, route information of the vehicle, and vehicle information of the vehicle; an awakening level calculating unit for calculating an awakening level of an occupant on the basis of occupant information; an authority transfer determining unit for determining whether the transfer of the driving authority is allowed on the basis of the calculated awakening level; and a vehicle state controlling unit for performing control to change a state of the vehicle before switching to the manual driving is announced to the occupant of the vehicle when it is determined that the transfer of the driving authority is not allowed.

The present teaching relates to method, system, and medium, for switching a mode of a vehicle. Real-time data related to the vehicle are received, which include intrinsic/extrinsic capability parameters, based on which a set of tasks to switch from a current mode to a different mode is determined. A first duration of time required for the switch is determined based on a first risk evaluated with respect to the current mode and the real-time data. A task duration time needed by a driver to complete the task is estimated for each of the set of tasks. A second risk for the switching is estimated based on the required first duration of time and a total task duration times needed to complete the set of tasks. The switch is carried out when the second risk satisfying a criterion.

A method and system to facilitate monitoring of vehicles, riders, and drivers that includes receiving, using a communication device, and input related to driver energy and driver availability from one or more driver devices. Further, the method may include a step of analyzing, using a processing device, the input related to driver energy to determine energy levels of the one or more drivers. Further, the method may include matching, using the processing device, the rider with a driver based on the analyzing. Further, the method may include transmitting, using the communication device, a notification to the rider device and a matched driver device.

A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

A vehicle lane change control apparatus includes a condition information acquisition unit that acquires condition information of an occupant of a vehicle, a lane change rate database unit that stores a lane change rate that is determined based on a lane change pattern of a driver analyzed based on driving information when a lane of the vehicle is changed and road condition information when the lane of the vehicle is changed and indicates a speed of the lane change, and a control unit that changes the lane of the vehicle through steering control according to operation information of the vehicle, and based on the condition information of the occupant acquired by the condition information acquisition unit, controls the lane change of the vehicle by selectively using the lane change rate and a corrected lane change rate determined by increasing or decreasing the lane change rate.