A method and device for operating a vehicle comprising a step of recording environment data values, which represent an environment of the vehicle, the environment comprising at least one environmental feature; a step of determining a comparative value of a comparison between the at least one environmental feature and a map, the map comprising at least one map feature, the at least one environmental feature corresponding the at least one map feature; a step of determining an up-to-dateness of the map, based on a comparison of the comparative value with a threshold value; and a step of operating the vehicle, as a function of the up-to-dateness of the map.

An example operation includes one or more of initially determining, via one or more sensors on a transport, that the transport is approaching a one-way road in a wrong direction based on a slowing down of the transport and a movement of the transport toward the one-way road, notifying, via the one or more sensors, one or more occupants of the transport about the approaching, and in response to the transport continuing to approach in the wrong direction, slowing the transport, by a computer associated with the transport, to not permit entry into the one-way road.

Sensor data is received from an array of sensors configured to capture one or more objects of an external environment of an autonomous vehicle. A first sensor group is selected from the array of sensors based on vehicle operation data representative of a state of the autonomous vehicle. First sensor data from the first group is prioritized for transmission based on the vehicle operation data.

A lane keeping controller, a vehicle system including the same, and a method thereof are provided. The lane keeping controller includes a processor that monitors a risk level of a vehicle in real time, upon a lane keeping control, calculates a target lateral movement distance based on a line component, integrates an offset from a predetermined offset threshold to the vehicle, when an offset between a target route and the vehicle departs from the predetermined offset threshold, and corrects the target lateral movement distance based on the integrated value to calculate a final target lateral movement distance and a storage storing data and an algorithm run by the processor.

A cruise control system is provided with the ability to inhibit operation of a cruise control resume function which returns a vehicle to a target vehicle speed. The resume inhibition is inhibited when values of vehicle parameters exceed threshold values, such as a road wheel angle being greater than a threshold angle, detection of an object such as another vehicle adjacent to the vehicle, and/or a vehicle speed being lower than a threshold speed. The ability to inhibit the cruise control resume function enhances safety by avoiding unexpected or otherwise undesired vehicle acceleration when the steering wheels turned at a large angle and an adjacent object is present, thereby minimizing the chances of the turning vehicle colliding with the adjacent object.

In one embodiment, static-state curvature error compensation control logic for autonomous driving vehicles (ADV) receives planning and control data associated with the ADV, including a planned steering angle and a planned speed. A steering command is generated based on a current steering angle and the planned steering angle of the ADV. A throttle command is generated based on the planned speed in view of a current speed of the ADV. A curvature error is calculated based on a difference between the current steering angle and the planned steering angle. The steering command is issued to the ADV while withholding the throttle command, in response to determining that the curvature error is greater than a predetermined curvature threshold, such that the steering angle of the ADV is adjusted in view of the planned steering angle without acceleration.

A system of linearizing a trajectory of an autonomous vehicle about a reference path includes a computing device and a computer-readable storage medium. The computer-readable storage medium includes one or more programming instructions that, when executed, cause the computing device to receive a reference path for an autonomous vehicle, where the reference path defines a proposed trajectory for the autonomous vehicle in a Cartesian reference frame, identify an objective based on the received reference path, where the objective comprises a longitudinal component and a lateral component, project the objective into a curvilinear coordinate frame described by the received reference path, decouple the longitudinal component and the lateral component, linearize the lateral component about the reference path, generate a new reference path for the autonomous vehicle by fusing the linearized longitudinal component and the linearized lateral component, and map the new reference path back to the Cartesian reference frame.

A method of operating a vehicle having a driver assistance system includes detecting driving parameters pertaining to the vehicle while the vehicle is being driven on a roadway using a sensor system of the vehicle. Objects including road signs, lane indicators, and other vehicles are detected using the sensor system. The objects include at least road signs, lane indicators, and other vehicles on the roadway. A traffic rule pertaining to the roadway is identified using a traffic violation warning and prevention system of the driver assistance system. A traffic situation pertaining to the traffic rule is detected based on the detected objects and the driving parameters. An alert is generated that warns the driver of a potential traffic violation when the traffic situation is detected. Alternatively, the driver assistance system may be configured to take control of the vehicle to prevent violation of the traffic rule.

A parking assist system comprises: a backward position determining unit for changing, upon inputting of a notification that the travel of the vehicle has stopped in a forward route, the starting point of a reverse route to the stopping point wherein travel of the vehicle has stopped, and, if the vehicle has traveled along the backward route wherein the starting point has been changed to the stopping position, identifies a backward position wherein the vehicle can be reversed; a control information generating unit for generating control information for causing the vehicle to travel from the stopping position to the backward position; and a route generating unit for generating a second parking route, for causing the vehicle to travel to the parking position, based on the state of surroundings, acquired by a state acquiring unit, when the vehicle travels to the backward route.

A trajectory for an autonomous machine may be evaluated for safety based at least on determining whether the autonomous machine would be capable of occupying points of the trajectory in space-time while still being able to avoid a potential future collision with one or more objects in the environment through use of one or more safety procedures. To do so, a point of the trajectory may be evaluated for conflict based at least on a comparison between points in space-time that correspond to the autonomous machine executing the safety procedure(s) from the point and arrival times of the one or more objects to corresponding position(s) in the environment. A trajectory may be sampled and evaluated for conflicts at various points throughout the trajectory. Based on results of one or more evaluations, the trajectory may be scored, eliminated from consideration, or otherwise considered for control of the autonomous machine.