A navigation system includes: a control circuit configured to: generate a video clip by parsing an interval of a sensor data stream for a region of travel; analyze the video clip submitted to a deep learning model, already trained, including identifying a traffic flow estimate; access a position coordinate for calculating a distance to intersection; generate a traffic flow state by fusing a corrected speed, the traffic flow estimate, and the distance to intersection; merge a vehicle maneuvering instruction into the traffic flow state for maneuvering through the region of travel; and a communication circuit, coupled to the control circuit, configured to: communicate the traffic flow state for displaying on a device.

In accordance with an exemplary embodiment, a method is provided that includes: receiving an input as to a destination of travel for a vehicle; identifying, via a processor, a plurality of routes for the vehicle to travel to the destination; determining, via the processor, for each of the plurality of routes, a measure of difficulty of vehicle maneuvers for the vehicle to reach the destination via the route; and performing a vehicle action, via instructions provided by the processor, based on the respective measures of difficulty for the plurality of routes.

A point-to-point autonomous driving path generation and driving control method based on a navigation route and a high definition map, which generates a point-to-point autonomous driving path by utilizing both of a route made with a navigation map (SD map) and a lane centerline of a high definition map (HD map). The point-to-point autonomous driving path generation and driving control method based on the navigation route and the high definition map includes a step of acquiring navigation route data; and a step of generating autonomous driving trajectory data on the basis of lane information of the high definition map matched with the navigation route data.

An autonomous driving control method carried out by an autonomous driving control system having an autonomous driving control unit that executes an autonomous driving control for causing a host vehicle to travel along a target travel route generated on a map, comprising setting one or a plurality of target passage gates through which the host vehicle is scheduled to pass during passage through a toll plaza, determining the presence or absence of a preceding vehicle that has the predicted passage gate that matches the target passage gate of the host vehicle from among a plurality of preceding vehicles, and carrying out following travel using the preceding vehicle that has the predicted passage gate that matches the target passage gate as a follow target.

A method to control a vehicle comprising a driver support function and an information receiving device, comprising the steps of; receiving information regarding a severe condition and the position of the severe condition; determining the distance from the vehicle to the position of the severe condition; comparing the determined distance to a first predetermined distance; if the determined distance is smaller than the first predetermined distance, automatically adjust or disengage the driver support function; if the driver support function has been automatically adjusted or disengaged, comparing the determined distance to a second predetermined distance; if the determined distance is smaller than the second predetermined distance, automatically activating at least one warning light of the vehicle.

There is provided a portable electronic monitoring device for providing an in-vehicle user warning system about how a semi-autonomous vehicle is being driven autonomously during a driving period. The device is removably and securely mountable to the vehicle and comprises: a sensor set comprising at least one sensor for sensing an exterior environment outside of the vehicle and movement of the vehicle within the exterior environment, an interface for receiving user input commands and delivering a warning output; and a processor operatively connected to the sensor set and the interface; wherein the sensor set is configured to monitor the automatic operation of the semi-autonomous vehicle within the exterior environment during the driving period and to generate sensor data representing driving events concerning the automated driving behaviour of the vehicle with respect to the exterior environment occurring during the driving period. The processor is configured to: process the sensor data during the driving period to compare the detected automated driving behaviour of the vehicle in the external environment with a model of expected automated vehicle driving behaviour for a particular driving event; identify a dangerous driving event, if the detected automated driving behaviour deviates beyond a threshold from the expected automated vehicle driving behaviour; and if a dangerous driving event has been detected, generate a warning alert via the interface to alert the driver to the occurrence of the dangerous driving event.

A controller for changing between a respective first configuration and a respective second configuration of at least one active safety system of an automated motor vehicle is provided. The controller is configured to detect a change in the operating mode of the motor vehicle from an at least highly automated operating mode into a maximally partially automated operating mode and to change the at least one active safety system from the first configuration to the second configuration when a change is detected.

Section acquisition systems, methods, and programs acquire a scheduled travel route of a vehicle driven by at least one of an internal combustion engine or a motor. The systems, methods, and programs divide the scheduled travel route that is in a range of a predetermined distance from a current location into a plurality of sections such that a difference in traffic congestion degree is distinguished, and divide the scheduled travel route that is not in the range of the predetermined distance from the current location into a plurality of sections such that a difference in travel load is distinguished.

A method and apparatus for controlling battery state of charge (SOC) in a hybrid electric vehicle are provided to enable the efficient use of energy, the maximization of energy recovery, and the improvement of fuel efficiency and operability without the improvement of capacity and performance of electrical equipment or a main battery in a hybrid electric vehicle. The apparatus includes a collecting device that collects information regarding the slope or the road type and information regarding the vehicle speed. A controller determines charge and discharge modes based on the driving information and determines a charging upper and lower limit SOC based on the road slope or road type information a road section on which the vehicle is traveling and the vehicle speed information in the road section. A charge or discharge command is output based on the charging upper limit SOC and the charging lower limit SOC.

A system and method for determining object-wise situational awareness that includes receiving data associated with a driving scene of a vehicle, an eye gaze of a driver of the vehicle, and alerts that are provided to the driver of the vehicle. The system and method also includes analyzing the data and extracting features associated with dynamic objects located within the driving scene, the eye gaze of the driver of the vehicle, and the alerts provided to the driver of the vehicle. The system and method additionally includes determining a level of situational awareness of the driver with respect to the each of the dynamic objects based on the features. The system and method further includes communicating control signals to electronically control at least one component of the vehicle based on the situational awareness of the driver.