Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

A driving assist device includes, a traveling environment information acquisition unit, an intersection determination unit, a vehicle position information acquisition unit, a predicted travel path setting unit, a blinker signal acquisition unit, a traffic division information acquisition unit, a determination unit, and a notifier. The determination unit determines whether directions indicated by three factors of traffic division information acquired by the traffic division information acquisition unit; a blinker signal acquired by the blinker signal acquisition unit, and a predicted travel path predicted by the predicted travel path setting unit match each other. When the determination unit determines that directions indicated by two factors of the three factors match each other and a mismatch occurs between the directions indicated by the two factors and a direction indicated by a remaining factor of the three factors, the notifier issues a notification about the mismatch of the direction indicated by the remaining factor.

Systems and methods are provided for increasing driver awareness of external audible and visual alerts. The external alerts may be detected by external sensors of a vehicle. Systems may use internal sensors to determine whether a driver of the vehicle appears aware of the external alert or whether the external alert is detectable inside the vehicle. If the driver does not appear aware of the external alert, or the external alert is not detectable inside the vehicle, the vehicle may broadcast an internal alert to the driver. The internal alert may be one or more of a visual alert, an audible alert, or a tactile alert.

An information processing device includes a control unit configured to: acquire information on a destination of a user who uses a resting unit including equipment on which the user is able to sleep, information on an arrival time at the destination, and information on a place in which the user uses the resting unit; transmit a command to a traveling unit configured to be coupled to the resting unit and carry the resting unit such that the traveling unit is coupled to the resting unit and arrives at the destination at the arrival time; and transmit a command to a stimulation device configured to stimulate the user who is using the resting unit such that the stimulation device is activated before the traveling unit is coupled to the resting unit or before the traveling unit departs for the destination after being coupled to the resting unit.

A system for control of a steering system of a vehicle. The system including an actuator for applying a force or a torque to the steering system. A force or torque can be superimposed on a force or torque originating from the wheels. The system includes a detection unit disposed on the vehicle and configured for anticipatorily detecting at least one surface condition of a surface section located ahead of the vehicle in the direction of vehicle travel and subsequently driven on by the vehicle. The system including a data processing unit disposed on the vehicle and connected to and communicating with the detection unit. The data processing unit configured for generating control signals for controlling an actuator of the steering system based on the detected surface condition.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Systems and methods for providing real-time feedback to a driver of a vehicle based on real-time datasets is disclosed. The systems and methods include obtaining one or more sets of real-time data associated with a vehicle. Performing one or more operations on the set of real-time data, wherein the one or more operations are based on the set of real-time data. Generating, a feedback alert based on results of the one or more operations and one or more detected real-time behaviors of the vehicle. Providing the feedback alert for presentation at a user interface on-board the vehicle. The real-time data may include contextual data, environmental data, operating data, data for a plurality of drivers, or combinations thereof.

Embodiments of the present disclosure provide a method, an apparatus and a device for an illegal vehicle warning. The method includes: detecting an illegal vehicle in a preset area; and performing the illegal vehicle warning on a target vehicle entering the preset area according to vehicle information of a detected illegal vehicle in the preset area. In the embodiments of the present disclosure, the traffic control unit detects the illegal vehicle in the preset area, and the illegal vehicle warning is performed on the target vehicle entering the preset area according to the vehicle information of the detected illegal vehicle in the preset area, thereby avoiding or mitigating the collision of the target vehicle with the illegal vehicle, and improving the traffic safety of the target vehicle.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

A method for detecting an obstacle includes the steps of: calculating, for each point of a space around a telemeter, a plurality of corresponding intermediate probabilities of presence, each intermediate probability of presence being associated with a respective orientation of the telemeter among a plurality of predetermined orientations around a current orientation of the telemeter, each orientation being certain; for each point of space, calculating a probability of the presence of an obstacle from each corresponding intermediate probability of presence and from an uncertainty model on the orientation of the telemeter; and generating an alert if the probability of the presence of an obstacle in a predetermined zone with respect to the telemeter is greater than or equal to a predetermined alert threshold.