Patent classifications
B60W2554/80
Driving assistance device and method that judge a target object based on neighboring objects
A driving assistance device to properly recognize a relative positional relationship between mobile objects without the use of map information. The driving assistance device includes a relative position judgment section for judging a relative positional relationship of an object of interest and a first neighboring object relative to a second neighboring object, based on object-of-interest information and neighbor information, to make a judgment as a first judgment on a relative positional relationship between the object of interest and the first neighboring object, based on the aforementioned judgment result.
Driver assistance system and method of controlling the same
A driver assistance system includes a detector configured to detect pedestrians or obstacles in a front detection area and a rear detection area of a vehicle; an accelerator pedal sensor configured to detect a position of an accelerator pedal of the vehicle; and a controller configured to selectively activate the front detection area and the rear detection area according to a gear state of the vehicle, when there is the pedestrians or the obstacles in the activated detection area, to recognize an acceleration pedal change amount from an acceleration pedal position detected through the accelerator pedal sensor, to determine whether emergency braking of the vehicle is necessary based on the recognized acceleration pedal change amount, and when the emergency braking is necessary, to perform the emergency braking for the vehicle.
AUTONOMOUS VEHICLE OPERATION USING LINEAR TEMPORAL LOGIC
Techniques are provided for autonomous vehicle operation using linear temporal logic. The techniques include using one or more processors of a vehicle to store a linear temporal logic expression defining an operating constraint for operating the vehicle. The vehicle is located at a first spatiotemporal location. The one or more processors are used to receive a second spatiotemporal location for the vehicle. The one or more processors are used to identify a motion segment for operating the vehicle from the first spatiotemporal location to the second spatiotemporal location. The one or more processors are used to determine a value of the linear temporal logic expression based on the motion segment. The one or more processors are used to generate an operational metric for operating the vehicle in accordance with the motion segment based on the determined value of the linear temporal logic expression.
Vehicle collision alert system and method
An impairment analysis (“IA”) computer system for detecting an impairment is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate or otherwise scan a target vehicle by using a plurality of sensors included on a host vehicle to scan the target vehicle and a target driver; (ii) receive sensor data including target driver data and target vehicle condition data; (iii) analyze the sensor data by applying a baseline model to the sensor data; (iv) detect an impairment of the target driver or target vehicle based upon the analysis; and/or (v) output an alert signal to a host vehicle controller, or direct collision preventing actions (such as automatically engage vehicle safety systems), based upon the determination that the target driver or target vehicle is impaired.
VEHICLE OBJECT TRACKING
A computer includes a processor and a memory storing instructions executable by the processor to receive sensor data indicating a current position of an object, determine a predicted position of the object at a future time, and instruct a component of a vehicle to actuate based on the current position being in a first zone of a plurality of zones surrounding the vehicle and the predicted position being in a second zone of the plurality of zones different than the first zone. The zones are nonoverlapping and have preset boundaries relative to the vehicle.
METHOD FOR OPERATING A DRIVING ASSISTANT FOR AUTOMATED LATERAL GUIDANCE
A method for operating a driving assistant for the automated lateral guidance of a motor vehicle. The method includes: carrying out an automated lane guidance of the motor vehicle in a first lane; ascertaining, by the motor vehicle, an obstacle situation of a further motor vehicle in the first lane; carrying out a lane release with the aid of an automated lane change of the motor vehicle into a second lane; ascertaining a lane return situation with regard to the motor vehicle; deciding on the lane return into the first lane, taking the lane return situation into account; carrying out a decided lane return into the first lane with the aid of an automated lane change; continuing the automated lane guidance of the motor vehicle in the first lane. A device for carrying out the method is also described.
SYSTEMS AND METHODS FOR VIRTUAL VEHICLE PARKING ASSISTANCE BACKGROUND
Systems and methods for virtual vehicle parking assistance are disclosed herein. An example method includes determining a current vehicle position and vehicle dimensions of a vehicle, determining parking space dimensions of a parking space, receiving a desired parking position for the vehicle through an augmented reality interface, the augmented reality interface including a three-dimensional vehicle model based on the vehicle dimensions, the augmented reality interface being configured to allow a user to virtually place the three-dimensional vehicle model in the parking space to determine the desired parking position, determining a virtual parking procedure for the vehicle based on the desired parking position selected by the user and the parking space dimensions of a parking space and causing the vehicle to autonomously park based on the virtual parking procedure.
LEAD VEHICLE BRAKING WARNING SYSTEM
A lead vehicle braking warning system includes a speed sensor, a detector, a display and an electronic controller. The speed sensor measures current speed of a host vehicle. The detector detects current speed of a lead vehicle relative to the speed of the host vehicle. The display has a braking condition display area configured to display each of a plurality of braking conditions of the lead vehicle for the operator of the host vehicle. The electronic controller is in electronic communication with the speed sensor, the detector and the display. The electronic controller determines whether or not the lead vehicle is currently decelerating and determine which one of a plurality of braking conditions is currently being experienced by the lead vehicle and display information identifying the current one of the plurality of braking conditions of the lead vehicle within the braking condition display area of the display.
AUTONOMOUS VEHICLE WITH PATH PLANNING SYSTEM
A vehicular control system determines a planned path of travel for a vehicle along a traffic lane in which the vehicle is traveling on a road. The system determines a respective target speed for waypoints along the planned path that represents a speed the vehicle should travel when passing through the respective waypoint. The system determines a speed profile for the vehicle to travel at as the vehicle travels along the planned path, with at least two different speeds being based on a difference in target speeds of at least two consecutive respective waypoints of the plurality of waypoints. The system determines an acceleration profile for the vehicle to follow as it changes from one speed to another speed of the speed profile. The system controls the vehicle to maneuver the vehicle along the planned path in accordance with the determined speed and acceleration profiles.
SYSTEM AND METHOD FOR COMMUNICATING A DRIVING MODE OF AN AUTONOMOUS VEHICLE
A system for communicating a driving mode of an autonomous vehicle (AV) comprises the AV, a control device, and a notification device. The control device defines a threshold region around the AV. The control device receives sensor data from sensors of the AV. The control device detects presence of a vehicle from the sensor data. The control device determines a distance between the vehicle and the AV. The control device determines that the vehicle is within the threshold region based on determining that the distance between the vehicle and the AV is within the threshold region. While the AV is operating in the autonomous mode, the control device triggers the notification device to notify the vehicle that the AV is operating in the autonomous mode, where notifying that the AV is operating in the autonomous mode comprises presenting a visual notification and/or communicating a data message to other vehicles.