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.

An advanced driver assistance system (ADAS) and method for a vehicle include a light intensity detection system configured to detect a set of light density changes proximate to a face of a driver of the vehicle, a vehicle-to-everything (V2X) communication system, a global navigation satellite system (GNSS) system, and a controller configured to detect a current glare condition based on the set of detected light density changes from the light intensity detection system, share, using the V2X communication system, the detected current glare condition and the corresponding GNSS location, based on the sharing and another set of parameters, determine whether the vehicle is likely to experience a future glare condition during a future period, and in response to determining that the vehicle is likely to experience the future glare condition during the future period, at least one remedial action.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example system for an AV includes obtaining, by a computer located in the AV, an image from a camera located on the AV, where the image characterizes an area towards which the AV is driven on a lane on a road or a highway; determining, from the image, that a pedestrian or a cyclist is located next to the lane on the road or the highway; and in response to the determining, performing driving operations on the AV such as steering from a center of the lane to a first side of the lane that is away from the center of the lane and away from a location of the pedestrian or the cyclist, and/or slowing down the AV in response to certain conditions.

A method for controlling an autonomous vehicle including: obtaining trip information of a current trip of a user of the autonomous vehicle and historical traffic information related to the current trip; selecting an autonomous driving (AD) mode that is suitable for the current trip from a plurality of pre-defined AD modes; comparing time required for the autonomous vehicle to complete a portion of the current trip in the selected AD mode with historical average time to complete the portion of the current trip, the historical average time being acquired based on the historical traffic information; and dynamically adjusting driving of the autonomous vehicle based on the comparison to minimize the difference between the time required for the autonomous vehicle to complete the portion of the current trip in the selected AD mode and the historical average time.

An HCU is to be used in a vehicle including an autonomous driving operation, and includes a function of a presentation control device that controls presentation of information to a driver of the vehicle. The presentation control device determines interruption of a second task other than driving permitted to the driver in an autonomous traveling period where the vehicle travels by the autonomous driving operation. Based on the interruption determination of the second task, the HCU changes a provision method of content provided in association with the second task in the autonomous traveling period.

Advanced vehicle control systems are disclosed. Within a vehicle system having several subsystem controllers dedicated to separate tasks in the vehicle, the subsystem controllers may use supplied control parameters. In this context, a centralized optimization unit is configured to receive prediction data, determine, within a prediction horizon, a modification to at least one supplied control parameter using the prediction data; and communicate the modification to the at least one supplied control parameter to at least one subsystem control unit.

A driving assistance device configured to execute deceleration assistance for a driver's vehicle when the driver's vehicle turns right or left at an intersection is configured to recognize, based on a detection result from an external sensor of the driver's vehicle, an adjacent vehicle traveling in an adjacent lane adjacent to a traveling lane of the driver's vehicle, determine whether the adjacent vehicle turns in the same direction of the driver's vehicle at the intersection based on the detection result from the external sensor when the adjacent vehicle is recognized and the driver's vehicle turns right or left at the intersection, and execute the deceleration assistance to cause a vehicle-to-vehicle distance between the driver's vehicle and the adjacent vehicle to reach a distance equal to or larger than a target driver's vehicle-to-adjacent vehicle distance when the driving assistance device determines that the adjacent vehicle turns in the same direction.

Systems and methods for controlling navigation of an autonomous vehicle for making an unprotected turn while traversing an intersection. The methods may include identifying a loiter pose of an autonomous vehicle for stopping at a point in an intersection before initiating an unprotected turn, initiating navigation of the autonomous vehicle to the loiter pose when a traffic signal is at a first state, determining whether the traffic signal has changed to a second state during or after navigation of the autonomous vehicle to the loiter pose, and in response to determining that the traffic signal has changed to the second state, generating a first trajectory for navigating the autonomous vehicle to execute the unprotected turn if the expected time for moving the autonomous vehicle from a current position to a position when the autonomous vehicle has fully exited an opposing conflict lane is less than a threshold time.

A driving assistance device is configured to assist driving of a vehicle having an autonomous driving function. A traffic status acquisition unit is configured to acquire a traffic status in a section between a present location of the vehicle, which drives in automatic operation in an automatic operation feasible section, and an end point of the automatic operation feasible section. The automatic operation feasible section is set as a limited domain in advance on map information. A timing determination unit is configured to alter change request timing, at which a change request is made to request a driver to make a driving change from the autonomous driving function to the driver, according to the traffic status acquired by the traffic status acquisition unit.

The invention relates to a method for controlling an at least partially autonomously driving ego vehicle, at least the surroundings, legal driving conditions and the traffic in front of the ego vehicle in a current lane being detected by sensors. The problem addressed by the invention is that of providing an improved method. The problem is solved in that a first query relating to a possible speed is carried out, and a target acceleration is calculated when it is detected that the possible speed is greater than the current speed, and a second query is carried out as to whether there is a vehicle in an adjacent lane within an observation region, whether an acceleration at the calculated target acceleration is carried out, since no vehicle has been detected within the observation region, or whether no acceleration at the target acceleration is carried out, since a vehicle has been detected within the observation region.