In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a semi-automated mode; receiving, by the processor, driver input including a measured driver torque; receiving, by the processor, threat data; determining, by the processor, a steering command bias based on an impedance relation, impedance parameters, the measured driver torque, and the threat data; determining, by the processor, a reference angle based on the steering command bias and a desired angle; and generating, by the processor, control data to control the steering of the autonomous vehicle based on the reference angle.

A method for providing assistance to a driver of a vehicle, the vehicle including a driver assistance system that enables at least temporary autonomous driving, and that, after the termination of the autonomous driving, requests the driver to take over at least the lateral guidance of the vehicle via a signal. It is further provided that the steering of the vehicle is stiffened for a specified time span after the request to take over the lateral guidance. A computer program and a device that are set up to carry out the method, are also described.

A vehicle congestion determination device includes: an acquisition unit configured to acquire a first information indicating an occurrence of traffic congestion based on a first threshold value and a second information indicating the occurrence of traffic congestion based on a second threshold value as an allowable condition for starting an autonomous driving operation during the traffic congestion; and a control unit configured to integrate the first information and the second information and execute a first algorithm for determining the occurrence of the traffic congestion based on the first threshold value and a second algorithm for determining the occurrence of the traffic congestion based on the second threshold value.

In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.

The techniques of this disclosure relate to a driver-monitoring system. The system includes a controller circuit that receives monitoring data from a driver-monitor sensor that is configured to monitor a driver of a vehicle while the vehicle operates in an autonomous-driving mode. The controller circuit determines a score of one or more driver-supervisory metrics based on the monitoring data, each of the driver-supervisory metrics being indicative of whether the driver is supervising the operation of the vehicle. The controller circuit determines a supervision score based on the score of the driver-supervisory metrics. The supervision score is indicative of whether the driver is ready to resume control of the vehicle. The controller circuit indicates a driver-awareness status on a display in a field of view of the driver based on the supervision score. The system can improve vehicle safety by alerting the driver when the driver exhibits reduced driver awareness behavior.

A system for impact-based operation of an autonomous agent (equivalently referred to herein as an ego agent and autonomous vehicle) includes and/or interfaces with a computing subsystem (equivalently referred to herein as a computer and/or set of computers). A method for impact-based operation of an autonomous agent includes: receiving a set of inputs; predicting a set of future scenarios; and determining a set of metrics based on the set of future scenarios. Additionally or alternatively, the method can include operating the autonomous agent based on the set of metrics and/or any other processes.

A driving assist method and a driving assist device is provided for controlling a transmission ratio of a continuously variable transmission, which steplessly shifts gears and outputs an engine rotation speed. The driving assist method and a driving assist device continuously performs downshifting until an upshift occurs, when the transmission ratio of the continuously variable transmission is controlled so that the engine rotational speed increases in conjunction with an increase in a vehicle speed and the upshift will be performed after the vehicle has accelerated.

A vehicle control device includes a control instruction unit (ALC switch) that gives an instruction to perform one of lane change assistance control in which guidance of lane change is provided to a vehicle occupant through a notification unit (HMI) and automated lane change control in which travel control required for movement from a travel lane to a target lane is automatically performed as lane change control performed in the lane change in accordance with vehicle occupant's operation.

A drive mode switch control device acquires operation information. The drive mode switch control device switches a drive state among at least an autonomous drive state, a manual drive state, and a coordination drive state. The operation detection unit detects a first operation and a second operation based on the operation information when the drive state is not in the manual drive state. The second operation is the drive operation different from the first operation and input after the input of the first operation. The drive mode switch control device switches the drive state from the autonomous drive state to the coordination drive state based on a detection determination of the first operation. The drive mode switch control device switches the drive state from the coordination drive state to the manual drive state based on a detection determination of the first operation.

The present invention provides an automatic driving system capable of clearly identifying the factors responsible for causing an abnormality such as an accident or malfunction of a vehicle during automatic driving after the fact. The automatic driving system automatically selects, from each automatic driving function provided in the vehicle or each level of driving automation into which each automatic driving function is classified, an automatic driving function or a level of driving automation according to the circumstances surrounding the vehicle or the driving state of the vehicle, automatically performs a part of or the entirety of a vehicle driving operation to automatically drive the vehicle, and, remembers the time of automatic driving and information indicating the selected automatic driving function or level of driving automation at that time.