Patent classifications
B60W2554/20
METHOD, COMPUTER PROGRAM AND APPARATUS FOR INVOKING A TELE-OPERATED DRIVING SESSION
A method, a computer program, and an apparatus for invoking a tele-operated driving session and a transportation vehicle equipped with an automated driving function using the method or apparatus. An impending situation that requires a tele-operated driving session is identified, a quality of service for a communication between the transportation vehicle and a control center is predicted for a location where the tele-operated driving session will be performed, the speed of the transportation vehicle is reduced to a maximum drivable speed for a tele-operated driving session with the predicted quality of service, and the tele-operated driving session is initiated.
RADAR-BASED LANE CHANGE SAFETY SYSTEM
In various examples, systems are described herein that may evaluate one or more radar detections against a set of filter criteria, the one or more radar detections generated using at least one sensor of a vehicle. The system may then accumulate, based at least on the evaluating, the one or more radar detections to one or energy levels that correspond to one or more locations of the one or more radar detections in a zone positioned relative to the vehicle. The system may then determine one or more safety statuses associated with the zone based at least on one or more magnitudes of the one or more energy levels. The system may transmit data, or take some other action, that causes control of the vehicle based at least on the one or more safety statuses.
Apparatus and method for detecting tilt of LiDAR apparatus mounted to vehicle
A detection apparatus detects a tilt of a LiDAR apparatus that is mounted to a vehicle. The detection apparatus includes a distance image acquiring unit, a surroundings information acquiring unit, and a detecting unit. The distance image acquiring unit acquires a distance image that is expressed by a detection point group that is detected by the LiDAR apparatus. The surroundings information acquiring unit acquires surroundings information on a periphery of a traveling route of the vehicle. The detecting unit that determines the tilt of the LiDAR apparatus based on the acquired distance image and the acquired surroundings information.
VEHICLE PATH ADJUSTMENT
A system for detecting a road surface includes a computer programmed to determine a virtual boundary for a vehicle body based on a shape of the vehicle body, upon identifying an object, to identify a plurality of points on the object based on received sensor data, to determine a barrier function based on each of the identified plurality of points, wherein the barrier function includes a barrier distance from a reference point of the virtual boundary of the vehicle to a respective one of the points on the object, based on (i) the determined barrier functions, (ii) the determined virtual boundary of the vehicle, and (iii) an input to at least one of propulsion, steering, or braking, to determine at least one of a braking override or a steering override, and based on the determination, to adjust at least one of a vehicle steering or a vehicle speed.
Methods and apparatus for depth estimation using stereo cameras in a vehicle system
A method comprises: receiving, at a processor, a first image from a first camera from a stereo camera pair and a second image from a second camera from the stereo camera pair. The method also includes determining, at the processor using a machine learning model, a first set of objects in the first image. The processor determines an object type. The processor identifies a second set of objects in the second image associated with the first plurality of objects. The method also includes calculating, at the processor, a set of disparity values between the first image and the second image based on (1) an object from the first set of objects, (2) an object from the second set of objects and associated with the object from the first set of objects, and (3) an object type of the object from the first set of objects.
System for forward collision avoidance through sensor angle adjustment and method thereof
An apparatus and method for forward collision avoidance through sensor angle adjustment includes a position provider configured to provide information on a position of a host vehicle, a sensor configured to sense a presence of an object in vicinity of the host vehicle, and a vehicle controller configured to detect a dangerous area in a driving caution area, increase a sensitivity of the sensor toward the dangerous area, in response to detecting the dangerous area, and increase a forward collision avoidance performance of the host vehicle, in response to determining that the host vehicle enters the driving caution area through the position provider.
Driver assistance device
A driver assistance device is configured to determine whether a type of a deceleration target is included in a category of a position-fixed object or a moving object, and determine whether the deceleration target is lost, and to continue the deceleration assistance on assumption that the lost deceleration target exists when the deceleration target is determined to be lost. The driver assistance device is configured to notify a driver of a host vehicle that the deceleration target is lost when the deceleration target is determined to be lost and the type of the deceleration target is included in the category of the moving object, and not to notify the driver that the deceleration target is lost when the deceleration target is determined to be lost and the type of the deceleration target is included in the category of the position-fixed object.
DYNAMIC LANE ADJUSTMENT FOR MULTIPURPOSE ROADWAY ZONES
The method provides for one or more processors to receive traffic information and passing vehicle information associated with a portion of a roadway in which a passing vehicle approaches and travels through the portion of the roadway. The one or more processors predict travel positions of passing vehicles, based on the traffic information and passing vehicle information. The one or more processors determine an impassible space within an existing lane of the roadway and create virtual lane definitions based on the predicting and the traffic information, in which the lane definitions include an optimum number of lanes, a width of respective lanes, and a lane type, and the one or more processors transmit the lane definitions to the passing vehicles based on a correspondence between a type and width of a respective vehicle and the type and width of respective lane definitions.
Vehicle and method of controlling the same
A vehicle includes a sensing device disposed at the vehicle so as to have an external field of view of the vehicle, configured to detect a target vehicle moving from the external field of view to a parking space and a plurality of stationary parked vehicles; a controller configured to obtain a first distance that is a width between the plurality of parked vehicles and a second distance that is a width between one parked vehicle of the plurality of parked vehicles and the target vehicle adjacent to the one parked vehicle; and a warner configured to output a warning signal based on a control command of the controller.
Autonomous vehicle handling in unusual driving events
A method of operating an autonomous vehicle includes detecting, based on an input received from a sensor of an autonomous vehicle that is being navigated by an on-board computer system, an occurrence of a driving event, making a determination by the on-board computer system, upon the detecting the occurrence of the driving event, whether or how to alter the path planned by the on-board computer system according to a set of rules, and performing further navigation of the autonomous vehicle based on the determination until the driving event is resolved. The driving event may include a presence of an object in a shoulder area of the road. The driving event may include accumulation of more than a certain number of vehicles behind the autonomous vehicle. The driving event may include a slow vehicle ahead of the autonomous vehicle. The driving event may include a do-not-change-lane zone is within a threshold.